Biophysics of Computation: Information Processing in Single Neurons (Computational Neuroscience Series)
The NEURON Book
Simple model of spiking neurons
IEEE Transactions on Neural Networks
Which model to use for cortical spiking neurons?
IEEE Transactions on Neural Networks
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In this paper, we discuss various frameworks used for modeling communications among biological neurons and their networks. We also present a novel framework in which a neuron is viewed as a node in a heterogeneous network of neuron clusters. In the proposed framework, we view a neuron as constituting organelles that together generate a composite signal (action potential) consisting of physiological and logical groups of signals. These groups are responsible for specific tasks, such as physiological signaling, signal routing and mental function coding (neural code) with 'standard' interfaces between signal groups. We contend that despite the variety of signals that a neuron processes, the interfaces between same signal groups are standardized for all communications. The benefits of such a framework are that (i) it assumes that the mental function is coded in only a subset of the neuronal signals that suggests that research on mental functions could be restricted to certain parts of neuronal signals, and (ii) it assume standardized interfaces between logical signal groups that makes it possible to have common models of different mental functions, such as cognition, memory, neuro-muscular and audiovisual functions. We will present various experimental set ups possible for deriving quantitative models under this framework.