Neural ensembles control sensory, motor, and cognitive functions. Action potentials of neuronal cells (spikes) may signify such functions, or the presence of a pathology. In this paper we give the circuital implementation of an Artificial Neural Network, able to sort (detect and classify) spikes in real time. The system is synthesized targeting a 14nm FinFET technology. To partially alleviate the computational burden, approximate computing methods have been integrated during the inference stage, yielding up to 63% reduction in dynamic power. The different versions of the circuit reach an accuracy range from 65% to 93%, with silicon area and power that range from 2000μm 2 , 0.1μW@30kHz to 6000μm 2 , 0.7μW@30kHz. The electrical performances of the proposed circuit overcome the state of the art of spike detection circuits while providing the additional feature of spike sorting in a single integrated solution.

On-Chip Spike Detection and Classification using Neural Networks and Approximate Computing

Zacharelos, Efstratios
;
Napoli, Ettore;Gragnaniello, Diego
2023-01-01

Abstract

Neural ensembles control sensory, motor, and cognitive functions. Action potentials of neuronal cells (spikes) may signify such functions, or the presence of a pathology. In this paper we give the circuital implementation of an Artificial Neural Network, able to sort (detect and classify) spikes in real time. The system is synthesized targeting a 14nm FinFET technology. To partially alleviate the computational burden, approximate computing methods have been integrated during the inference stage, yielding up to 63% reduction in dynamic power. The different versions of the circuit reach an accuracy range from 65% to 93%, with silicon area and power that range from 2000μm 2 , 0.1μW@30kHz to 6000μm 2 , 0.7μW@30kHz. The electrical performances of the proposed circuit overcome the state of the art of spike detection circuits while providing the additional feature of spike sorting in a single integrated solution.
2023
979-8-3503-0026-0
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11386/4860212
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