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Cortical plasticity : From synapses to maps

Annual review of neuroscience, 1998-01, Vol.21 (1), p.149-186

1998

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Developmental shift of short-term synaptic plasticity in cortical organotypic slices

Neuroscience, 2012-06, Vol.213, p.38-46

2012

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The neural basis of temporal processing

Annual review of neuroscience, 2004-01, Vol.27 (1), p.307-340

2004

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Temporal Information Transformed into a Spatial Code by a Neural Network with Realistic Properties

Science (American Association for the Advancement of Science), 1995-02, Vol.267 (5200), p.1028-1030

1995

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Long-Term Synaptic Changes Produced by a Cellular Analog of Classical Conditioning in Aplysia

Science (American Association for the Advancement of Science), 1990-07, Vol.249 (4967), p.420-423

1990

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Inhibitory neuron produces heterosynaptic inhibition of the sensory-to-motor neuron synapse in Aplysia

Brain research, 1992-04, Vol.577 (1), p.147-150

1992

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A learning rule based on empirically-derived activity-dependent neuromodulation supports operant conditioning in a small network

Neural networks, 1992, Vol.5 (5), p.789-803

1992

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Neuronal and network determinants of simple and higher-order features of associative learning: experimental and modeling approaches

Cold Spring Harbor Symposia on Quantitative Biology, 1990, Vol.55, p.175-186

1990

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Small networks of empirically derived adaptive elements simulate some higher-order features of classical condtioning

Neural networks, 1990, Vol.3 (5), p.507-523

1990

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Cortical plasticity : From synapses to maps

Developmental shift of short-term synaptic plasticity in cortical organotypic slices

The neural basis of temporal processing

Temporal Information Transformed into a Spatial Code by a Neural Network with Realistic Properties

Long-Term Synaptic Changes Produced by a Cellular Analog of Classical Conditioning in Aplysia

Inhibitory neuron produces heterosynaptic inhibition of the sensory-to-motor neuron synapse in Aplysia

A learning rule based on empirically-derived activity-dependent neuromodulation supports operant conditioning in a small network

Neuronal and network determinants of simple and higher-order features of associative learning: experimental and modeling approaches

Small networks of empirically derived adaptive elements simulate some higher-order features of classical condtioning

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