
- Behavioral/Systems/Cognitive Higher-Dimensional Neurons Explain the Tuning and
- A PDF Model of Populations of Purkinje Cells: Non-Linear Interactions and High Variability.
- Control of Arm Movement Using Population of Neurons Zoran Nenadic
- HOW NEURONS MEAN A NEUROCOMPUTATIONAL THEORY OF REPRESENTATIONAL CONTENT
- Cognition with neurons: A large-scale, biologically realistic model of the Wason Chris Eliasmith
- Computational neuroscience Chris Eliasmith
- Understanding interactions between networks controlling distinct behaviours: Escape and
- Is the Brain a Quantum Computer? Abninder Litta
- Neural populations can induce reliable post-synaptic currents without observable spike rate changes or precise spike timing
- LINEARLY DECODABLE FUNCTIONS FROM NEURAL POPULATION M. B. WESTOVER, C. ELIASMITH, C.H. ANDERSON
- NEUROSEMANTICS AND CATEGORIES CHRIS ELIASMITH
- A NEW PERSPECTIVE ON REPRESENTATIONAL PROBLEMS Chris Eliasmith
- IEEE Canadian Review -Spring / Printemps 2003 13 Neural Engineering: Unraveling The Complexities Of Neural Systems
- Neural Affective Decision Theory: Choices, Brains, and Emotions Abninder Litt1*
- How we ought to describe computation in the brain Chris Eliasmith, University of Waterloo
- Rethinking Central Pattern Generators: A General Approach 1
- Beyond Bumps: Spiking Networks that Store Smooth n-Dimensional Functions
- Simulating Neuronal Circuits C. H. Anderson, C. Eliasmith, D.C. Van Essen
- Dynamics, Control, and Cognition Chris Eliasmith
- A General Framework for Neurobiological Modeling: An Application to the Vestibular
- Solving the problem of negative synaptic weights in cortical models
- A Controlled Attractor Network Model of Path Integration in the Rat
- A unified approach to building and controlling spiking attractor networks
- Learning Context Sensitive Logical Inference in a Neurobiolobical Simulation Chris Eliasmith
- MOVING BEYOND METAPHORS: UNDERSTANDING THE MIND FOR Penultimate draft. Final version is in the Journal of Philosophy, 2003, C(10):493-
- Harmonic Analysis of Spiking Neuronal Pairs Charles H. Anderson, a
- AMATH 451 Introduction to Dynamical Systems Winter 2009 The goal of this course is to learn the basic qualitative techniques used to study nonlinear
- Mind as a Dynamical System Chris Eliasmith
- Developing and applying a toolkit from a general neurocomputational framework 1
- How to build a brain: From function to implementation Chris Eliasmith, University of Waterloo
- Discreteness and Relevance: A Reply to Roman CHRIS ELIASMITH
- Penultimate version for Oxford Handbook of Philosophy and Neuroscience, John Bickle (ed). Neurocomputational models: Theory, application, philosophical consequences