Original language | English |
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Article number | 034005 |
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Number of pages | 6 |
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Journal | Journal of Neural Engineering |
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Volume | 8 |
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Issue number | 3 |
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DOIs | |
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Publication status | Published - 2011 |
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Multiplication is an operation which is fundamental in mathematics, but it is also relevant for many sensory computations in the nervous system. Nevertheless, despite a number of suggestions in the literature, it is not known how multiplication is implemented in neural circuitry. We propose a simple feedforward circuit that combines a rate model of neural activity and a realistic neural input?output relation to accurately and efficiently implement multiplication of two rate-coded quantities. By simulating a network of integrate and fire neurons, we demonstrate the functional efficiency of the circuit. Finally we discuss how the model can be tested experimentally.
ID: 3963521