For Psychological
Services For Structure
of Temperament Questionnaire
(private practice) click here (STQ-77 description and forms) click here
Collective
Intelligence Laboratory
Psychological Services
Laboratory of Dr/Prof. William Sulis,
MD. PhD, PhD
and Dr/Prof.
Irina Trofimova, PhD
Department of Psychiatry and Behavioural
Neurosciences,
Department of Psychology, Neuroscience and Behaviour, McMaster University)
Neurochemical
biomarkers for psychiatric
and temperament taxonomies
Psychosemantic
study of connections between meaning attribution and age, gender and
temperament.
Process Algebra and Collective
Intelligence Architecture
Modeling of diversity and evolutionary
phenomena: diagonal evolution, EVS-approach, etc.
Educational
activity
Organizational Activity
Staff and contacts
Current Projects
Project name: Neurochemical
biomarkers for psychiatric and temperament taxonomies
The Functional Ensemble of
Temperament (FET) model suggests that:
§ ...the structure of adult temperament
(biologically based individual differences) cannot and should not be presented
as 3-5 independent dimensions. We offer the "Functional Ensemble of Temperament" model consisting of 12 components,
which reflect the regulation
of behaviour in four perspectives of functional tasks: dynamical aspects of tasks (energetic, integration- and
orientation-related), probabilistic (known task vs. uncertain),
activity-specific (physical vs. verbal-social vs. mental) and emotional
amplifier of dynamical aspects. The FET model is a derivative of Rusalov's STQ model and was used in the Compact Structure of Temperament Questionnaire (see
forms testing
here)
§ ...Neurotransmitter
systems regulating temperament traits work in overlapping teams and have
functional specializations reflecting the functional aspects of tasks that
people have to deal with. These systems are strongly interdependent, contingent
on each other's state and have feedback relationships. For this reason our
neurochemical framework is called Functional Ensemble of
Temperament (FET).
This FET model also hypothesises classification of mental disorders in terms of
more or less structured symptoms reflecting functional aspects of behaviour,
instead of a variety of empirically-derived descriptors as in the DSM (not
shown here). The FET proposes the following interplay between the
neurotransmitter systems:
|
Functional
aspects: |
Behavior. orientation to.. (NE+...) |
Integration
aspects (DA+...) |
Energetic aspects (5-HT, ACh +...) |
|
Probabilistic/
> analytic aspects |
to learning probabilities, PRO NE+ACh+DA, Glu |
Plasticity, PL DA+ACh, 5-HT,GABA |
Mental Endurance, ERI ACh+NE, 5-HT |
|
Social-verbal |
to others: Empathy, EMP OXT, -VSP, -Tstr, NE |
Social Tempo, TMS DA+ Estr, NP |
Social Endurance, ERS 5-HT+Estr, H |
|
Physical-motor (>deterministic) |
to sensations, SS -Adr, Tstr, -Cort, NE |
Motor Tempo, TMM DOR→DA+GABA,A,NP |
Motor Endurance ERM, 5-HT+ORE, H, NP |
|
Emotional amplifiers |
Neuroticism, NEU KOR, cytokins, biota NE-HPA |
Impulsivity, IMP sANS, HPA→DOR/DA |
dispositional Satisfaction SLF MOR, biota→5-HT, DA |
References:
Trofimova,
I. (2016) The interlocking between functional aspects of
activities and a neurochemical model of adult temperament. In: Arnold, M. C
(Ed.) Temperaments: Individual Differences, Social and Environmental
Influences and Impact on Quality of Life. Nova Science Publishers, Inc., NY
pp. 77-147
Trofimova, I.
& Robbins, T.W. (2016) Temperament
and arousal systems: a new synthesis of differential psychology and functional
neurochemistry. Neuroscience and Biobehavioral Reviews, 64, 382-402.
DOI: 10.1016/j.neubiorev.2016.03.008. PDF
Trofimova, I.
(2018) Functionality
vs dimensionality in psychological taxonomies, and a puzzle of emotional
valence Philosophical Transactions of the Royal Society, Biology, 373, 1744, doi:10.1098/rstb.2017.0167
Trofimova, I.
(2019). An overlap between mental abilities and temperament traits. In:
McFarland, D. (Ed.) General and specific mental abilities. Cambridge,
UK: Cambridge Scholars Publishing. pp. 176-225.
Rezaei, S.,
Bakhshani, N.M., Fanaei, H., & Trofimova, I. (2020). Opium
effect in pregnancy on the dynamics of maternal behaviour: testing a
neurochemical model. Neuropsychobiology. 80(2), 147-157. doi:
10.1159/000512698 PDF
Trofimova, I.
(2021). Contingent
tunes of neurochemical ensembles in the norm and pathology: can we see the
patterns? Neuropsychobiology, 80(2), 101-133, doi:
10.1159/000513688.
Trofimova, I.
(2021). Neurochemical systems of temperament traits: the FET model. In:
Hashimoto, Y. & Shibasaki, M. (Eds). Introduction to neuropsychology.
University of Nagasaki Press: Japan.
Kanen, J. W.,
Robbins, T.W. & Trofimova, I.N. ( 2021). Harnessing Temperament to Elucidate the
Complexities of Serotonin Function. PsyArXiv. July 18.
doi:10.31234/osf.io/gvmuy.
Trofimova, I.
(2021). Functional
constructivism approach to multilevel nature of biobehavioural diversity. Frontiers
in Psychiatry. 12:641286, doi: 10.3389/fpsyt.2021.641286
Trofimova, I.
& Gaykalova, A. (2021). Emotionality
vs. other biobehavioural traits: a look at neurochemical biomarkers for their
differentiation. Frontiers in Psychology, 12: 781631 doi:
10.3389/fpsyg.2021.781631.
Trofimova I.
(2022). Transient
nature of stable behavioural patterns, and how we can respect it. Current
Opinions in Behavioural Sciences, 44. doi: 10.1016/j.cobeha.2022.101109. PDF
Kanen, J.,
Robbins, T.W., Trofimova I. (2022) Harnessing
temperament to elucidate the complexities of serotonin function. Current
Opinions in Behavioural Sciences, 45. doi: 10.1016/j.cobeha.2022.101108.
You-tube
videos on the FET model:
Presentation of the FET model
at the Karolinska Institute, Sweden (in English)
Presentation
of the FET model at the World Congress of Mental Health (in Russian)
Neuroscience
of Polymathy: Interview with Irina Trofimova at the Annual Creativity
Conference 2019
Moreover,
our lab’s position also is that:
... That the Big Five model of personality reflects
the nature of the lexical material that it is based upon. Language possesses a
strong sociability bias, reflective of its role in socialization. Language thus
has more personal descriptors related to affiliation and sociability than other
descriptors of individual differences. Moreover, there is a strong negativity
bias of emotionality and as a consequence there are more words related to
negative than to positive emotions. These two biases affect the content of
lexical descriptors of individual differences. As the result, the largest
factors in lexical approach models (Extraversion and Neuroticism) as artefacts
of the sociability bias of language and the negativity bias of emotionality,
and do not reflect the structure of consistent individual differences.
Moreover, many personality and temperament models miss important distinctions
between traits related to social, mental and physical activities.
References:
Trofimova,
Trofimova,
Trofimova,
Trofimova, I., Robbins, T., Sulis, W., Uher, J. (2018) Taxonomies of psychological individual differences: biological perspectives on millennia-long challenges. Philosophical Transactions of the Royal Society, Biology. doi: 10.1098/rstb.2017.0152
· ...That depression and anxiety have a significant impact
on dynamical (speed of integration of an action) aspects of activity (tempo,
plasticity and impulse control), compromising the responsiveness of behavior through an increase in rigidity and
impulsivity. Depression and anxiety appear to be associated mostly with aspects
of physical activity and less with intellectual or verbal activity:
References:
Trofimova, I. & Sulis W. (2010). An investigation of temperament in adults with comorbid depression and anxiety. Advances in Bioscience and Biotechnology, 1, 3, 190-199. DOI: 10.4236/abb.2010.13027.
Trofimova, I. & Christiansen, J. (2016) Coupling of temperament traits with mental illness in four age groups. Psychological Reports, 118, 2. DOI 10.1177/0033294116639430. PDF
Trofimova, I. & Sulis W. (2016a). Benefits of distinguishing between physical and social-verbal aspects of behaviour: an example of generalized anxiety. Frontiers in Psychology, 7:338. doi: 10.3389/fpsyg.2016.00338.
Trofimova, I. & Sulis, W. (2016b). A study of the coupling of FET temperament traits with Major Depression. Frontiers in Psychology, 7: 1848. doi: 10.3389/fpsyg.2016.01848.
Trofimova, I. & Sulis W. (2018). There is more to mental illness than just negative affect: comprehensive temperament profiles in depression and anxiety. BMC Psychiatry, 18:125, https://doi.org/10.1186/s12888-018-1695-x .
Rezaei, S., Bakhshani, N.M., Fanaei, H., & Trofimova, I. (2020). Opium effect in pregnancy on the dynamics of maternal behaviour: testing a neurochemical model. Neuropsychobiology. 80(2), 147-157. doi: 10.1159/000512698 PDF
Trofimova, I. (2021). Contingent tunes of neurochemical ensembles in the norm and pathology: can we see the patterns? Neuropsychobiology, 80(2), 101-133, doi: 10.1159/000513688.
Trofimova, I. (2021). Functional constructivism approach to multilevel nature of biobehavioural diversity. Frontiers in Psychiatry. 12:641286, doi: 10.3389/fpsyt.2021.641286
Trofimova, I. & Gaykalova, A. (2021). Emotionality vs. other biobehavioural traits: a look at neurochemical biomarkers for their differentiation. Frontiers in Psychology, 12: 781631 doi: 10.3389/fpsyg.2021.781631.
Trofimova I. (2022). Transient nature of stable behavioural patterns, and how we can respect it. Current Opinions in Behavioural Sciences, 44. doi: 10.1016/j.cobeha.2022.101109. PDF
Kanen, J., Robbins, T.W., Trofimova I. (2022) Harnessing temperament to elucidate the complexities of serotonin function. Current Opinions in Behavioural Sciences, 45. doi: 10.1016/j.cobeha.2022.101108.
Project
name: Process Algebra and Collective Intelligence Architecture
The purpose of the Collective Intelligence Laboratory is to study the dynamics, capabilities, limitations and applications of systems composed of embodied, strongly situated, weakly coupled agents interacting without hierarchical control. These topics are currently known as computational psychiatry and mathematical modeling in psychology. Systems studied in our Lab range from social organisms, through social insect colonies and on to societies and economic systems. Methodologies include computer simulations, especially cellular automata and graphical dynamical systems, formal theoretical modeling and analysis, and observation of natural systems. Applications to parallel processing algorithms , neural representation, functional differentiation in biological development and psychotherapeutics are also under investigation.
Directions of the project:
·
Development
of formal models of collective intelligence.
·
Study
of transient induced global
response synchronization (TIGoRS) in complex systems.
·
Application
of TIGoRS to the design of parallel processing algorithms and neural
representation.
·
Study
of intrinsic linguistic behavior in complex systems.
·
Study
of collective intelligence as a model for a dynamic unconscious.
·
Study
of symbol sign relationships and communication in biological systems
Relevant Publications of the lab on this project:
Books
Sulis, W. and
Combs, A. (eds.) (1996) Nonlinear Dynamics in Human Behavior.
Trofimova I.N.,
Budanov V.G. (eds.) (1997). Synergetics and Psychology. Texts. Volume 1.
Methodological questions.
Trofimova I.N. (ed.) (1999). Synergetics and Psychology. Texts.
Volume 2. Social Processes.
Sulis W.,
Shendyapin V.,
Articles:
Sulis, W.(1992) Tempered Neural
Networks. Proceedings of the International Joint Conference on Neural Networks
1992.
Sulis, W. (1993) Emergent
Computation in Tempered Neural Networks 1: Dynamical Automata. Proceedings of
the WCNN'93.
Sulis, W. (1993) Emergent
Computation in Tempered Neural Networks 2: Computation Theory. Proceedings of
the WCNN'93.
Sulis, W. (1993) Naturally Occurring
Computational Systems. World Futures 39(4) 225-241
Sulis, W. (1995) Naturally Occurring
Computational Systems. In Chaos Theory In Psychology and the Life Sciences. R.
Robertson, A. Combs (eds). 103-122.
Sulis, W. (1995) Driven Cellular
Automata. In 1993 Lectures on Complex Systems. Lecture Volume VI in the Santa
Fe Institute Studies in the Sciences of Complexity. 565-578. Addison-Wesley
Sulis, W. (1995) Causality in
Naturally Occurring Computational Systems. World Futures 44 (2- 3) 129-148
Sulis, W. (1995) Driven Cellular
Automata, Adaptation, and the Binding Problem. In Advances in Artificial Life,
Lectures Notes in Artificial Intelligence 929. F. Moran, A. Moreno, JJ Merelo,
P Chacon (eds.). 824-840. Springer-Verlag.
Sulis, W. (1996) A Formal Framework
for the Study of Collective Intelligence. 5th Conference on Artificial Life,
Sulis, W. (1996) TIGoRS and Neural
Codes. In Nonlinear Dynamics in Human Behavior, W. Sulis and A. Combs (Eds.)
Sulis, W. (1997) Fundamentals of
Collective Intelligence. Nonlinear Dynamics, Psychology, and Life Science,
1(1), 30-65.
Sulis, W. (1997) TIGoRS and Neural
Codes. In Nonlinear Dynamics in Human Behaviour, W. Sulis and A. Combs (Eds.)
Sulis, W. (1997) Collective
Intelligence as a Model for the Unconscious. Psychological Perspectives, 35,
Spring, 64-93.
Sulis, W. (1997) Collective
Intelligence. In: Trofimova I.N., Budanov V.G. (eds.) (1997). Synergetics and Psychology.
Texts. Volume 1. Methodological questions.
Sulis W. (1997) Tigors and Neural
Codes. In: M.A.Basin, S.V. Charitonov (Eds.). Synergetics and Psychology.
Sanct-Petersburg: SPBUVK.
Sulis, W. (1998) Dynamical Systems
in Psychology: Linguistic Approaches. In The Complex Matters of Mind and Brain,
F.Orsucci (ed.), 33-58.
Sulis, W. (1998) TIGoRS as an
Associative Memory in Complex Systems. Complex Systems. Proceedings of
International Conference.
Sulis, W. (1998) Dynamical systems
in psychobiology. In Chaos, Fractals, Models, F.M. Guindani and G. Salvadori
(eds.).
Sulis W. (1999) Archetypal Dynamics.
Internet World Congress on Biomedical Sciences.
Sulis W. (1999) A Formal Theory of
Colletive Intelligence. In: W.Tschacher, J.P.Dauwalder (Eds.) Dynamics,
Synergetics, Autonomous Agents.
Sulis W. (1999) Collective
Intelligence. In: Trofimova I.N. (Ed.) (2000). Synergetics and Psychology.
Texts. Volume 2. Social Processes.
Sulis W. Information representation
in neural and complex systems. In : Sulis W.,
Sulis W., Gupta A. Nonlinear
dynamics in psychiatry. In: Sulis W.,
Sulis W. (2001) A formal theory of
collective intelligence. In: Szuba, T. Computational Collective Intelligence.
Wiley Book Series on Parallel and Distributed Computing.
Sulis W. (2001) Collective
intelligence as a model for the unconscious. In: Szuba, T. Computational
Collective Intelligence. Wiley Book Series on Parallel and Distributed
Computing.
Sulis, W. (2002) Archetypal Dynamics
and Emergence. In Nation J.,
Sulis W. (2003) Effect TIGoRS in
stimuli recognition. In: Arshinov V., Shendyapin V.,
Sulis, W. (2004) Archetypal
Dynamical Systems and Semantic Frames in Vertical and Horizontal Emergence.
Emergence: Complexity and Organizations, 6(3).
Sulis, W. (2007) Archetypal
Dynamical Systems and Semantic Frames in Vertical and Horizontal Emergence in
Cilliers, P (Ed.) (2007) Thinking Complexity. Complexity and Philosophy Vol. 1,
ISCE Publishing.
Sulis, W. (2008) Stochastic phase
decoupling in dynamical networks. Nonlinear dynamics, psychology, and life
science. 12(4) 327-358
Sulis, W. (2009) Collective
intelligence: Observations and models. In
Sulis, W. (2010) Archetypal
dynamics, emergent situations and the reality game. Nonlinear dynamics,
psychology, and life sciences. 14(3) 209-238.
Sulis, W. (2012) Causal Tapestries
for Psychology and Physics. Nonlinear dynamics, psychology, and life sciences,
16(2), 113-136.
Sulis, W. (2014) A Process Model of
Quantum Mechanics. Journal of Modern Physics. DOI: 10.4236/jmp.2014.516176
Sulis, W. (2016) A Process Algebra
Model of QED. Journal of Physics. 701 (1) 012032
Sulis, W. (2016) Synchronization,
TIGoRS, and Information Flow in Complex Systems: Disposiitonal Cellular
Automata. Nonlinear Dynamics in Psychology and Life Sciences 20(2) 293-317
Sulis, W. (2016) Transient Induced
Global Response Synchronization. International Journal of Design & Nature
and Environment, 11(4) 712-21
Sulis, W. (2017) Completing Quantum
Mechanics. In K. Sienicki, Quantum Mechanics Interpretations. Open Academic
Press 350-421
Sulis, W, (2017) A Process Algebra
Approach to Quantum Electrodynamics: Physics from the Top Up. In: R. Martinez
(ed.) Complex Systems: Theory and Applications. Nova Publishing
Sulis, W. (2017) A Process Algebra
Approach to Quantum Electrodynamics. International Journal of Theoretical Physics.
DOI 10.1007/s10773-017-3366-y
10.Sulis, W. (2017) Modeling
stochastic complexity in complex adaptive systems: Non-Kolmogorov probability
and the process algebra approach. Nonlinear Dynamics in Psychology and Life
Sciences, 21(4) 407-440
Sulis, W. (2019) Transients as the
basis for information flow in complex adaptive systems. Entropy, 21(1) 94 DOI:
10.3390/e21010094
Sulis, W. (2019) Fractals
transcendant: Bridging the transpersonal chasm. In A Fractal Epistemology for a
Scientific Psychology: Bridging the Personal with the Transpersonal. Friedman,
H., Wolfe, K. (Eds.(To appear).
Sulis, W. (2019) Lessons from
collective intelligence. In Chaos Theory in the Social Sciences, Elliot, E.,
Kiel, D. (Eds.)
Project name: Modeling of Diversity and
Evolutionary phenomena: diagonal evolution, EVS-approach, etc.
Diagonal evolution: see:
Trofimova, I. (2016) Phenomena of Functional
Differentiation (FD) and Fractal Functionality (FF). International
Journal of Design & Nature and Ecodynamics, Wessex Institute of
Technology Press; UK
Trofimova I. (2017) Functional constructivism: in
search of formal descriptors. Nonlinear Dynamics in Psychology and Life
Sciences, 21/4:441-474 PDF
EVS modeling
Consideration of multi-element systems, be it
brain or body of a subject, groups of subject or organizations, leads to a
necessity of formal analysis of an interaction between the elements. Random
graph theory (Palmer, 1985), percolation models (Grimmett, 1989), cellular
automata (Burks, 1970), random boolean networks (the best review is Arbib,
1995) self-organized criticality (Bak, Tang, Wiesenfeld, 1987), or the Kauffman
model (Kauffman, 1993) all constitute populations of interacting agents. Most
models however consider formal populations with identical elements or
possessing only a small diversity of types, strategies or rules. Also agents of
some of these models interacted only locally (cellular automata, networks), or
the connections, once established, are fixed, as are the vertices (percolation
model, random graph model) that simulates equilibrium conditions.
A set of models that we developed in
collaboration with Alexey Potapov and Nicolay Mitin from Keldysh Institute of
Applied Mathematics (
Briefly
the main properties of EVS models are:
o Similarity with cellular automata,
as the characteristics of each element are discrete numbers, and evolution
occurs in discrete time;
o Non-locality
of connections between agents.
o Population
has a diversity of elements, defined via some parameters or vectors.
o Agents randomly
check other agents in the matter of compatibility.
o The number
of connections to be checked/established is limited by the parameter of
sociability.
o The
structure of connections between elements is very dynamic and stochastic.
o Mutual
agreement principle: connections between agents appear only when both agents
`agree` to establish it, and if one agent wants to terminate it, the connection
breaks.
o Each agent receives and spends some resource at each time step, allowing the simulation of resource flow through the agent and through the system.
Relevant Publications of the lab on
this project:
Trofimova I.N., Mitin N.A., Potapov A.B., Malinetzky G.G. (1997)Description of Ensembles with Variable Structure. New Models of Mathematical Psychology. Preprint N 34 of KIAM RAS. (in Russian).
Trofimova
I.N. (Ed.) (2000). Synergetics and Psychology. Texts. Volume 2. Social
Processes.
Sulis
W.,
Shendyapin
V.,
Trofimova I.N. Strategies of behavior as stable characteristics of individuality // Nature of Psyche. Perm. 1994. (in Russian)
Trofimova I.N. Evolutionary determination of
individual differences // Individuality in the modern world.
Trofimova I.N. Universal principles of evolution as
the foundation for analysis of human nature // Philosophical researches, N 3
1995. P.5-23. (in Russian)
Trofimova I.N. Parameters of behavioral strategies and
style characteristics // Human styles: structure and functions. Ed.A.V.Libin.
Moscow. Smisl, 1996. (in Russian)
Trofimova I.N. Individual differences from the point
of view of the evolutionary approach // Questions of psychology, N 1 - 1996.
(in Russian)
Malinetzky G.G, Mitin N.A., Potapov A.B., Trofimova
I.N. (1997). Individual differences: in search of universal characteristics//
Informatics in science and education. Reports of the Conference.
Trofimova I.N. (1997) Precursors of the Synergetic
Approach in Psychology // Synergetics and Psychology. Texts. Volume 1.
Methodological questions.
Trofimova, I., Potapov, A., Sulis, W. (1998) Collective Effects On Individual
Behaviour: International Journal of Chaos Theory and
Applications, 3/1-2, 53-63.
Trofimova I. & Potapov A.B. (1998). The definition of parameters for measurement in psychology. In: F.M. Guindani & G. Salvadori (Eds.) Chaos, Models, Fractals,
472-478.Italian University Press. Pavia, Italy.
Trofimova I. (2001b) Principles, concepts and phenomena of Ensembles
with Variable Structures. In: Sulis W., Trofimova I. (Eds.) Nonlinear
Dynamics in Life and Social Sciences. IOS Press, Amsterdam. Pp. 217-231 See
.PDF
While people's common association with psychology is
as a study of brain function, one cannot derive the content of thinking or
assign meaning to objects from brain activity only. Especially it is true for
such psychological applications, as resolving conflicts and recruiting staff
within organizations, managing business communication, counseling family
problems, developing educational plans and methods, helping people to cope with
tragic events, making recommendations regarding a choice of profession or just
predicting people's choices.
A modern direction in cognitive psychology -
psychosemantics, which studies how people assign meaning to objects and
situations. Psychosemantic techniques originated in the
Our psychosemantic studies showed that:
§ … the way how people attribute meaning to events and objects
partially depends on the state of their body, and capacities to handle these
events ("projection through capacities"). Our studies showed that sex
and temperament (biologically based traits) have specific influence on human
semantic perception. Refs:
Trofimova, I.N.
(1995) Interconnection between temperament characteristics and parameters of
semantic spaces of humans. Ph.D. thesis, Institute of Psychology, Russian
Academy of Sciences, Moscow, Russia.
Trofimova I.N.
(1997) Interconnection between characteristics of temperament and peculiarities
of cognitive activity of human // Voprosi psychologii, N 1, 74-82.
Trofimova I.
(1999). Investigation of how people of different age, sex and
temperament estimate the world. Psychological Reports. N 85/2,
pp.533-552. doi: 10.2466/pr0.1999.85.2.533. See PDF
Trofimova, I. (2014) Observer bias: how temperament
matters in semantic perception of lexical material. PLoS ONE, 9(1):
e85677. doi:10.1371/journal.pone.0085677, http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0085677
§ …the language of math and physics, invented originally by men, has a
mechanical engineering bias and therefore is not very suitable for life and
social sciences. Also, following Geodakyan’s
Evolutionary Theory of Sex (ETS): ETS suggested that sex division is a systemic
division of species into two (variational and conservational) partitions of a
species. We used ETS as an evolutionary "take" on sex differences in
meaning attribution observed in our studies and suggested the presence of
strong systemic factors which support psychopathy in men. These factors
support the male-prevalent tendency for irrelevance/redundancy pruning,
which allows the male sex to be in charge of dealing with overall diversity and
variation, both in the sense of expanding its boundaries and of eliminating the
excess of variation, while the female sex is in charge of securing, conserving
the ways of the species’s functioning, which proved to guarantee the desired
outcomes. Refs:
Trofimova, I. (2011) Are men evolutionarily wired to love the "Easy" buttons? Nature Precedings: January 19, 2011 https://www.nature.com/articles/npre.2011.5562.1; doi:10.1038/npre.2011.5562.1.
Trofimova, I. (2012a) Who is in charge of Science: men view "Time" as more fixed, "Reality" as less real, and "Order" as less ordered. Cognitive Systems Research, 15-16, 50-56. doi:10.1016/j.cogsys.2011.07.001. See PDF
Trofimova, I. (2012b) Understanding misunderstanding: a study of sex differences in meaning attribution. Psychological Research. DOI: 10.1007/s00426-012-0462-8. See PDF
Educational activity
Workshops:
From temperament to psychiatric illness:
neuropsychology of underlying systems. Workshop at the Annual meeting of the
American Psychiatric Association, Toronto,
Between temperament and mental disorders:
assessing the continuum. Workshop at the Annual meeting of the Canadian
Psychiatric Association,
Between temperament and mental disorders:
assessing the continuum. Workshop at the Annual meeting of the American
Psychological Association,
Between temperament and mental disorders:
assessing the continuum. Workshop at the Occasional Temperament Conference,
Murcia, Spain, May 23, 2018
Between temperament and mental disorders:
assessing the continuum. Workshop in the Department of Psychology, Marburg
University, Germany. June 4, 2018
Between temperament and mental disorders: assessing the continuum. Workshop at the International Congress of Applied Psychology, Montreal, Canada, June 25, 2018
Molecular and bio-markers in psychological
diversity: between psychological traits and psychiatric disorders. World
Congress of Biological Psychiatry, Vancouver, Canada, June 3, 2019.
Between
Temperament and Mental Disorders: Psychobiology of Consistent Behavioral
Patterns. Webinar CE course of the American Psychological Association. October
1, 2020, Online.
Courses:
McMaster Univeristy: Teaching the courses:
N 735 "Dynamical Systems I: Nonlinear Systems Theory",
N 736 "Dynamical Systems II: Ergodic Theory",
N 737 "Dynamical Systems III: Complex Systems Theory",
"Foundations of collective intelligence".
Moscow Physico-Technical Institute: Teaching the course Modeling in Psychology.
Supervision of
students:
1995-1996 - graduate thesis
supervision "Mobility versus Stasis", Dianne Miller -
1996-1997 - graduate thesis
supervision, Denis Koslov, Moscow Institute of Physics and Technology.
1997-1988 - graduate thesis
supervision "Universality in Social Dynamics Models", Dianne Miller,
1998-1999 - undergraduate thesis
supervision "Semantic Space Modeling", Doreen Au, McMaster
University, Department of Psychology.
1998-1999 - undergraduate thesis
supervision "Ergodic Theoretic Analysis of Human Locomotion", Miranda
Sim,
2000-2001 . - undergraduate
thesis supervision "Nonlinear Dynamics in Psychiatry", Arun Gupta,
2000-2001 - undergraduate thesis
supervision "Collective Intelligence in Social Systems", Tasleem
Murji,
2002-2003 - undergraduate thesis
supervision "Semantic Perception and Sex Differences Among Canadian
University Students", Kristine Espiritu,
2002-2003 - undergraduate thesis
supervision "Semantic Space of Different Gender and Emotionality",
Samira Patel,
2002-2003 - undergraduate thesis
supervision "Gender and Cultural differences of Semantic Space of Canadian
Students", Chandrima Bandyopadhyay,
2003-2004 - undergraduate thesis
supervision "Quality of Life and use of antidepressants", Melissa
Devlan,
2003-2004 - undergraduate thesis
supervision "Quality of Life and use of antidepressants", Claudia
Tomantsger,
2004-2005 - independent study
course supervision "Collective Intelligence", Marie Drosos,
2004-2005 - undergraduate thesis
supervision "Study of network dynamics in models of social
interactions", Leah Hockney,
2005-2006 - undergraduate thesis
supervision "Rule Coupled Order-Disorder Effects in RGDS", Pamela
Kwok,
2005-2006 - undergraduate thesis
supervision "Comparison of meaning attribution in Indian and Canadian
cultures". Vanita Marques,
2005-2006 - undergraduate thesis
supervision, "Comparison of meaning attribution in Urdu and Canadian
cultures". Ambreen Tahir,
2006-2007 - undergraduate thesis
supervision, "Comparison of meaning attribution in Chinese and Canadian
cultures". Wen-Wen Iris,
2006-2007 - undergraduate thesis
supervision "Emergence in Psychology", Patricia Marcoccia,
2006-2007 - undergraduate thesis
supervision "Collective Intelligence" Michael Sanderson,
2007-2008 - undergraduate reading
course, "Adaptation of the STQ-77 to Chinese", Wen Hou (Niko),
2007-2008 - undergraduate thesis
supervision, "Validation of the Impulsivity and Empathy scales of the
STQ-77", Jennifer Bossio,
2008-2009 - undergraduate
independent study course, "Adaptation of the STQ-77 to Chinese",
Russel Lu,
2009-2010 - undergraduate thesis
supervision "Consciousness", Luxi Li,
2010-2011 - undergraduate
independent study course, "Adaptation of the STQ-77 to Dari", Surab
Khogiani,
2011-2012 - undergraduate
independent study course, "Psychophysiology of Individual
Differences", Polly Cheng,
2011-2012 - indergraduate
independent study course, "Collective Intelligence", Titus Timotin,
2012-2013 - undergraduate thesis
supervision, Torianne Ipema,
2018-2019 - undergraduate independent study course HTH SCI 3H03, Pei Rui Ren, McMaster University, Department of Psychology
2019-2020 - undergraduate independent study course PNB 4Q03, Jennifer Reed, McMaster University, Department of Psychology.
2020-2021 - undergraduate independent study course PNB 4Q03, Anastasia Gaykalova, McMaster University, Department of Psychology.
2021-2022 - undergraduate independent study course PNB 3Q03, Miranda Wu, McMaster University, Department of Psychology.
2021-2022 - undergraduate independent study course PNB 4Q03, Yiyu (Shirley) Shi, McMaster University, Department of Psychology and Behavioural Neurosciences.
2022-2023 - undergraduate independent study course PNB 3Q03, Alaney Marinucci, McMaster University, Department of Psychology.
2023-2024 - B.Sc, course project LIFESCI 4C12-2023, Laurie He, level 4, Life Sciences Sensory Motor Systems
2023-2024 - Honours Core Biology, B.Sc, course project BIO 4C12-2023, Fatima Haroon, level 4, Department of Biology
2023-2024 - B.Sc, course project LIFESCI 4C12-2023, Faryal Syed, level 4, Honours Life Sciences
2023-2024 - B.Sc, Independent Study project, Fatemeh Ilkhani, level 4, McMaster University, Department of Psychology and Behavioural Neurosciences.
2024-2025 – Amanda Rivet , Mechanisms of mutual regulation between serotonin and catecholamines. 5th year of a combined degree in Psychology and Philosophy
2024-2025 – Qian (Una) Yu , A comparison of temperament profiles in health & psychopathology (STQ & DSM-5 study in Canada & China), Independent study course in HUMBEHV4RP6 A/B; 5th-year Applied Psychology student, Department of Psychology
2024-2025 – Yao (Eliza) Maclean , Development and a pilot study of the SEP-STQ questionnaire, Thesis: 5th-year Arts & Science Program student, with a combined honours in Psychology, Neuroscience, & Behaviour.
2024-2025 – Shruthi Viswanathan, The role of dopaminergic neuroanatomic and neurochemical systems in vocal behavior. Department of Psychology, Neuroscience, & Behaviour.
2024-2025 – Meshaal Khurram , Age differences in hormonal systems, Thesis: 4th year, School of Interdisciplinary Science, Life Science Research-Based Learning course.
2024-2025 – Volunteer, Dutt Gajjar , Application of sheaves for modeling neurochemical framework FET, 2nd year, Department of Psychology, Neuroscience, & Behaviour
2024-2025 – Amy Xinyu Shi, Neurochemical biomarkers of behavioural patterns in health and psychopathology: dopamine in verbal behavior , HTHSCI3MR6 Department of Medicine Undergraduate Research Practicum (DoM_UGRP) course
2024-2025 – Yousra Lakhani, Neurochemical biomarkers of behavioural patterns in health and psychopathology: dopamine in motor integration , HTHSCI3MR6 Department of Medicine Undergraduate Research Practicum (DoM_UGRP) course
2024-2025 – Olivia Freeman, Mutual regulation between serotonin and-hormones, 3Q03 Independent Library Study or potential thesis, Department of Biology; Department of Psychology, Neuroscience, & Behaviour
2024-2025 – Taraneh Mohammaddoust , Neurochemical regulation of the central sensory-motor systems, 3rd year Life Sciences student, LIFESCI 3RP3 course
2024-2025 – Jino Lim, , EVS mathematical modeling of relationships between sociability and diversity of populations, 2nd year student, NEUROSCI 2CC3. Department of Psychology, Neuroscience and Behaviour
Organizational Activity
Organisation of the Modeling
Journal Club in Psychology Department (1993-1996). Faculty and graduate
students of the department participated in sessions of this club, discussing
neural networks, artificial life and other modeling approaches.
Presentation
of the Laboratory at international scientific meetings. For last seven years we
gave a total more than 60 such presentations and invited lectures.
Organisation the Modeling
Journal Club in Psychology Department (1993-1996). Faculty and graduate
students of the department participated in sessions of this club, discussing
neural networks, artificial life and other modeling approaches.
Presentation of the Laboratory
at international scientific meetings. For last seven years we gave a total more
than 60 such presentations and invited lectures.
Organization of NATO Advanced Study Institute "Nonlinear Dynamics
in Life and Social Sciences", Moscow, 2000
Organization of NATO Advanced Research Workshop "Formal
Descriptions of Developing Systems", Honolulu, Hawaii, 2002
Conducting international
scientific activity: Dr.Sulis was a President of the international Society for
Chaos Theory in Psychology and Life Sciences during 1996-1998, and now is head
of international relations in this society. Dr.Trofimova was a President of the
Russian Synergetic Society since 1995.
Staff and contacts
Big and sincere thanks to our volunteers Ms.
Saloumeh Madani, Ms. Rupasri Chowdur, Mr. Anson Poon, Mr. Dutt Gajjar and to
our students!!!
Dr. William Sulis, B.Sc.,
M.D., M.A., FRCP, Ph.D. (mathematics), Ph.D. (theoretical physics), Director
Tel:
(905) 772-7218,
Fax:
(905) 529-6225
E-mail:
s u l i s w @ m c m a s t e r . c a
Home Page: http://psonline.ca/sulisw/sulis.html
Dr.
Irina Trofimova, M.Sc., Ph.D., licensed Clinical Psychologist, Senior
Researcher
Tel: (905) 527 0129,
Fax: (866) 410-6766
E-mail: t r o f i m i @ m c m a s t e r . c a
Home Page: http://psonline.ca/ira/ira.html