Detailed Schedule
Materials
Lecture notes and other supplementary materials will be uploaded here after each lecture...Term 1
Date | Subject | Lecturer | Materials |
---|---|---|---|
3 Oct | Sensation, Perception, and Inference. | Maneesh Sahani |
perception-slides
perception-handout |
6 Oct | Point processes | Maneesh Sahani |
pointproc-slides
pointproc-handout |
10 Oct | Information | Maneesh Sahani |
info-slides
info-handout |
13 Oct | (lecture cancelled) | ||
16 Oct | (no lecture scheduled) | ||
20 Oct | (lecture cancelled) | ||
24 Oct | Olfaction | Troy Margrie | (no slides) |
27 Oct
30 Oct |
Population Coding | Peter Latham | Peter's handwritten notes See also recommended reading below |
7 Nov | Representation and Computation with Uncertainty | Maneesh Sahani | Handout from last year Slides from last year |
10 Nov | Audition | Nick Lesica | Audition slides |
14 Nov | (Overview Lecture) Control Problems | Adam Kampff | No slides |
28 Nov | Hippocampus | John O'Keefe | Awaiting slides |
30 Nov | Cortical and Sub-cortical Movement/Posture Control | Andy Murray | Awaiting slides |
05 Dec | Innate Behaviour and Animal Learning | Yoh Isogai |
Awaiting slides
Lecture references |
08 Dec | Learning/RL | Peter Latham | Legacy lecture slides from Peter D |
Term 2
Date | Subject | Lecturer | Materials |
---|---|---|---|
23 Jan - 02 Feb | Biophysics lectures x4 | Peter Latham |
Math you need to know
Linear analysis Cable equation/dendrites See also references below |
06 Feb | Recording Electrical Signals in Neurons | Tom Otis |
Lecture outline/refs
Lecture slides |
09 Feb | Synaptic Transmission | Troy Margrie |
Lecture concepts, keywords
The recommended book "Synapses" by Cowan et al. is in the library |
13 Feb | Synaptic Integration in Single Neurons | Tiago Branco |
Lecture outline
Lecture slides The ‘Neuron’ simulation environment |
16 Feb | Genes and Behaviour | Yoh Isogai | Cancer cell commentary |
20 Feb | Attractor networks | Peter Latham |
Some notes at: http://www.gatsby.ucl.ac.uk/~pel/tn/notes/ |
23 Feb | Recurrent rate networks/feedforward networks | Peter Latham |
See notes at: http://www.gatsby.ucl.ac.uk/~pel/tn/notes/ |
27 Feb | Viral methods for interrogating neural circuits | Andy Murray | Viral methods: slides |
02 Mar | Cerebellar Learning | Tom Otis |
Cerebellum: Outline
Cerebellum: Slides |
06 Mar | Connectivity Mapping | Tom Mrsic-Flogel | |
09 Mar | Diversity of Cell Types in the Brain | Marcus Stephenson-Jones | |
19/20 Mar | Balanced networks | Peter Latham |
See notes at: http://www.gatsby.ucl.ac.uk/~pel/tn/notes/ and papers below. |
Extra resources
Please feedback to the TAs which resources you found helpful, so this list can improve over time...Population coding
Recommended papers:
- Implications of Neuronal Diversity on Population Coding
- A computational analysis of the Relationship between Neuronal and Behavioral Responses to Visual Motion
- The Effect of Noise Correlations in Populations of Diversely Tuned Neurons
- Robust information propagation through noisy neural circuits
- Neuronal Tuning: To Sharpen or Broaden?
- Information-limiting correlations
Legacy lecture slides
- Population coding slides (contain some of the derivations Peter went through in lecture)
- Correlations slides (might be useful for Gatsby assignment)
Biophysics
Student notes
- Jorge's (pretty comprehensive) TN notes
- Kirsty's (less comprehensive, higher level) biophysics notes
Online resources
- Lecture notes from Mark van Rossum
- Neuronal Dynamics online textbook
- Neuronal Dynamics video lectures
- Also see Extra resources page for legacy notes/slides from Peter L.
Textbooks
Math notes from Peter L
(see lecture list above)Important papers
- Intrinsic dynamics in neuronal networks. Analyses Wilson-Cowan dynamics in different regimes, including lots of nullclines.
Systems
- Foundational Neuroscience questions and answers. These look like well-written answers to systems-ey questions - at least 50% of them seem relevant to our TN course, similar to questions in the systems section of the short-question exam. Let us know if you find them useful.