Announcements a3 is out, due 2/13 and 2/22 11:59pm Computational: part 1 isn't too hard; part 2 is harder quiz will be graded in about a week.

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Presentation transcript:

Announcements a3 is out, due 2/13 and 2/22 11:59pm Computational: part 1 isn't too hard; part 2 is harder quiz will be graded in about a week.

Where we stand Last Week –Psych experiments –Imaging studies –Connectionist representation This Week –Learning –Backprop Coming up –Neurophysiology of color

The Big (and complicated) Picture Cognition and Language Computation Structured Connectionism Computational Neurobiology Biology MidtermQuiz Finals Neural Development Triangle Nodes Neural Net & Learning Spatial RelationMotor Control Metaphor SHRUTI Grammar abstraction Regier Model Bailey ModelNarayanan Model Chang Model Visual System Psycholinguistics Experiments

Brain study techniques What is it, and how is it used? –lesion studies –PET –fMRI –single-unit recordings –EEG and MEG –EcoG –TMS

Spatial and Temporal Resolution

Representations What is a localist representation? What is a distributed representation? How many things can you represent with 4 neurons, in each representation? How many conjunctions of things can each represent? What is coarse coding? What is coarse-fine coding?

Coarse Coding info you can encode with one fine resolution unit = info you can with a few coarse resolution units Now as long as we need fewer coarse units total, we’re good

Coarse-Fine Coding but we can run into ghost “images” Feature 2 e.g. Direction of Motion Feature 1 e.g. Orientation Y X G G Y-Orientation X-Orientation Y-DirX-Dir Coarse in F2, Fine in F1 Coarse in F1, Fine in F2

Biological memory 1.Into what categories do people divide memory? –Long term versus short term versus working –Skill versus declarative (semantic and episodic)

Declarative Non- Declarative EpisodicSemanticProcedural Memory Two ways of looking at memory: facts about a situationgeneral factsskills

Memory Short Term MemoryLong Term Memory Two ways of looking at memory: electrical changesstructural changes LTP

Biological learning 1.What is retrograde messaging? 2.What is the biological mechanism for short- term memory? Long-term memory?

Hebb’s Rule: neurons that fire together wire together Long Term Potentiation (LTP) is the biological basis of Hebb’s Rule Calcium channels are the key mechanism LTP and Hebb’s Rule strengthenweaken

Why is Hebb’s rule incomplete? here’s a contrived example: should you “punish” all the connections? tastebudtastes rotteneats foodgets sick drinks water

With high-frequency stimulation, Calcium comes in During normal low-frequency trans-mission, glutamate interacts with NMDA and non-NMDA (AMPA) and metabotropic receptors.

Recruitment learning What is recruitment learning? Why do we need it in our story? How does it relate to triangle nodes?

Models of Learning Hebbian ~ coincidence Recruitment ~ one trial Supervised ~ correction (backprop) Reinforcement ~ delayed reward Unsupervised ~ similarity