NEUR 3041

Neural computation: Models of brain function

 

Course organiser: Prof. Neil Burgess

 

Stuff to download/open in new window (right click):

Course Booklet (inc. timetable and general info)

 

Handouts (most of them anyway):

Introduction and unsupervised learning

Simple supervised learning

More advanced learning

Hippocampus and spatial representation

Grid cells and path integration

Hippocampal and striatal navigation

Reinforcement learning

Theories of the cerebellum

Modelling Prefrontal Cortex

Decision making

Associative Memory

Early visual processing

Processing in spine and motor cortex

Audition and olfaction

Spike timing and delays

 

Essay papers:

Abbott00_computing_by_timing

EkebergGrillner99_lamprey_swimming

Frean90_growing_networks

Fuhs_Touretzky00_place_cell_remapping

LismanIdiart95_oscillatory_memory

Nolfi_NolfiParisi02_genetic_algorithms

Pasupathy02_population_coding_of_shapes

ZipserAndersen88_parietal_gain_fields

 

Past papers:

3041_Exam2008-9

3041_Exam2009-10

3041_Exam2010-11