Foundations of Neural and Cognitive Modelling

Course Outline 2016-2017 edition

  1. Dynamical systems, Models of single neurons. or: From continuous to discrete systems. (week 1, 2)
  2. Neural networks, Hopfield, Perceptron, MLP, Backpropagation. or: How networks of (continuous & discrete) neurons may implement cognitive functions. (week 3, 4)
  3. Student presentations (week 5)
  4. Guest lectures Bayesian Modelling, Symbolic Modelling (week 6)
  5. The binding problem, or: How neural networks may implement symbolic minds (week 7)

Suggested Papers for student presentations:

  • Andrew James Anderson, Elia Bruni, Alessandro Lopopolo, Massimo Poesio, Marco Baroni, Reading visually embodied meaning from the brain: Visually grounded computational models decode visual-object mental imagery induced by written text, NeuroImage, Volume 120, 15 October 2015, Pages 309-322, ISSN 1053-8119,
  • Evelyn Eger, Vincent Michel, Bertrand Thirion, Alexis Amadon, Stanislas Dehaene, Andreas Kleinschmidt, Deciphering Cortical Number Coding from Human Brain Activity Patterns, Current Biology, Volume 19, Issue 19, 13 October 2009, Pages 1608-1615, ISSN 0960-9822,
  • Jaldert O. Rombouts, Arjen van Ooyen, Pieter R. Roelfsema, Sander M. Bohte
    Biologically Plausible Multi-Dimensional Reinforcement Learning in Neural Networks
    International Conference on Artificial Neural Networks, 2012
  • Alex Graves, Greg Wayne, Malcolm Reynolds, Tim Harley, Ivo Danihelka, Agnieszka Grabska-Barwińska, Sergio Gómez Colmenarejo, Edward Grefenstette, Tiago Ramalho, John Agapiou, Adrià Puigdomènech Badia, Karl Moritz Hermann, Yori Zwols, Georg Ostrovski, Adam Cain, Helen King, Christopher Summerfield, Phil Blunsom, Koray Kavukcuoglu, Demis Hassabis
    Nature 538, 471–476 (27 October 2016)
    Hybrid computing using a neural network with dynamic external memory
  • Yan Karklin1, Michael S. Lewicki
    Emergence of complex cell properties by learning to generalize in natural scenes
    Nature 457, 83-86 (1 January 2009)
  • Misha V. Tsodyks and Henry Markram (1998), The neural code between neocortical pyramidal neurons depends on neurotransmitter release probability. Proc Nat Acad. Sci. USA.
  • Brenden M. Lake, Ruslan Salakhutdinov, Joshua B. Tenenbaum (2015) Human-level concept learning through probabilistic program induction. Science