A theoretical framework derives analytical approximations for mutual information between data patterns and synaptic connections in Hebbian autoassociative networks using log-normal pattern distributions.
A., Zatka-Haas, P., Carandini, M
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NEMO sensor integrates NEMS electrostatic transducer with photonic microdisk resonator to detect neural signals down to 110 μV and enable optical multiplexing for compact probes.
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Quantifying information stored in synaptic connections rather than in firing activities of neural networks
A theoretical framework derives analytical approximations for mutual information between data patterns and synaptic connections in Hebbian autoassociative networks using log-normal pattern distributions.
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NEMO: Neural Electro-Mechano-Optic Sensors for Multiplexed Neural Interfaces
NEMO sensor integrates NEMS electrostatic transducer with photonic microdisk resonator to detect neural signals down to 110 μV and enable optical multiplexing for compact probes.