networks of neurons

29
Networks of Neurons Computational Cognitive Neuroscience Randall O’Reilly

Upload: dung

Post on 24-Feb-2016

37 views

Category:

Documents


0 download

DESCRIPTION

Networks of Neurons. Computational Cognitive Neuroscience Randall O’Reilly. Networks. Biology of Neocortex (“cortex”) Categorization and Distributed Reps Bidirectional Excitation and Attractors Inhibitory Competition and Activity Regulation. Neurons: Excitatory and Inhibitory. - PowerPoint PPT Presentation

TRANSCRIPT

Page 1: Networks of Neurons

Networks of Neurons

Computational Cognitive NeuroscienceRandall O’Reilly

Page 2: Networks of Neurons

Networks

Biology of Neocortex (“cortex”) Categorization and Distributed Reps Bidirectional Excitation and Attractors Inhibitory Competition and Activity Regulation

Page 3: Networks of Neurons

Neurons: Excitatory and Inhibitory

Excitatory = main info processing, long-range connectionsInhibitory = local, activity regulation and competition

Page 4: Networks of Neurons

The 6 Layer Cake..

Page 5: Networks of Neurons

Is Actually Only 3..

Page 6: Networks of Neurons

Patterns of Connectivity

Page 7: Networks of Neurons

Bidirectional Symmetry

Page 8: Networks of Neurons

Biology => Function

Feedforward excitation = categorization of inputs

Feedback excitation = attractor dynamics Lateral inhibition = competition, activity

regulation

Page 9: Networks of Neurons

We Think in Categories

(much easier than disconnected pixels..)

Page 10: Networks of Neurons

Hierarchy of Categories

Page 11: Networks of Neurons

The Chair Category

Page 12: Networks of Neurons

Getting the right ones is key..

Two men are dead in a cabin in the woods. What happened??

Page 13: Networks of Neurons

Categories are Interesting!

What makes a mental categorization accurate? Is there something “real” about a “chair?”

Stereotypes are mental categories.. Can you encode multiple categories at the

same time??

Page 14: Networks of Neurons

Distributed Representations

Let a 1,000 categories bloom.. You’ve got the room in your head (billions of neurons)

Each neuron can respond to multiple things (graded similarity)

And each thing activates many neurons (who knows what is going to be relevant this time?)

Page 15: Networks of Neurons

Graded Responses

Page 16: Networks of Neurons

Distributed Patterns

Page 17: Networks of Neurons

Topographic Organization

Page 18: Networks of Neurons

Distributed Parts

Page 19: Networks of Neurons

Not Just Monkeys

Page 20: Networks of Neurons

Coarse Coding Efficiency

Page 21: Networks of Neurons

Localist Representations?

Page 22: Networks of Neurons

Bidirectional Excitatory Dynamics

Page 23: Networks of Neurons

Top-down Ambiguity Resolution

Page 24: Networks of Neurons

What Are These?

Page 25: Networks of Neurons

A Big Network Model..

Page 26: Networks of Neurons

Bidirectional Dynamics

Page 27: Networks of Neurons

Inhibition

Competition: selection pressure, survival of the “fittest”, picking the best detector for the job..

Interacts with learning: “rich get richer” (but also narrower – no hogging the inputs please!)

“Sparse distributed representations” (and also essential for controlling activity, like

an air conditioner)

Page 28: Networks of Neurons

Feedforward and Feedback Inhib

• Feedback “reacts” (AC comes on after it gets hot enough)• Feedforward “anticipates” (e.g., if AC measured outdoor temp,

or weather forecast)

Page 29: Networks of Neurons

kWTA Approximation