The integrate-and-fire model is a simplified representation of a neuron that captures its essential behavior by combining the processes of integrating synaptic inputs and generating action potentials when a certain threshold is reached. This model serves as a fundamental framework in computational neuroscience to understand neural dynamics and is crucial for designing neuromorphic systems that mimic biological processing in hardware.
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