Title: Optimizing with synapses
1Optimizing with synapses
Sebastian Seung Howard Hughes Medical
Institute and Brain Cog. Sci. Dept., MIT
2Practice makes perfect
- Birdsong learned from male tutor
- Stored template
- Zebra finch up to 100,000 iterations
- Known anatomy and physiology
3Hahnloser, Kozhevnikov, Fee (2002)
4Supervisory signals in the brain
- Global broadcast of reward signal
- E.g. dopaminergic system
5Neural basis of learning
Global signal (Reward, motor error, etc.)
Local signals (Voltage, calcium, etc.)
Synaptic plasticity
The interaction between global and local signals
is largely uncharacterized.
6Noise injection hypothesis
- HVC vs. LMAN
- lesion
- neural activity
HVC
RA
LMAN
motor neurons
Doya and Sejnowski
7Trial and error learning
- Generation of variability
- Reinforcement of favorable variations
8Synaptic learning rule
regular synapses
reward
2
3
1
noise synapses
regular
noise
reward
Fiete and Seung
9Optimization in biology
- Evolution
- Search in genotype space
- Random genetic variation
- Learning
- Search in synapse space?
- Unreliable synapses
- Noise injection
10Stochastic gradient learning
- Systems-level models of learning
- Birdsong
- Oculomotor system
- Synaptic plasticity in vitro
- Microisland cultures
- Training neural circuits in vitro
- Silicon stimulation
- Pattern culture
- Intrinsic imaging by interferometry
11Reward-driven plasticity in vitro
Jen Wang Naveen Agnihotri
12Patterned culture by inkjet printing
Sawyer Fuller and Neville Sanjana
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15In vitro models of learning
- Goal study how synaptic plasticity affects the
dynamics of neural circuits - Technical challenge electrical and chemical
control of neurons - Conceptual challenge training neural circuits