Abstract:
Reconfigurable analog hardware presents an ideal platform for the realization and analysis of biorealistic neural systems. This work explains the use of subthreshold MOSF...Show MoreMetadata
Abstract:
Reconfigurable analog hardware presents an ideal platform for the realization and analysis of biorealistic neural systems. This work explains the use of subthreshold MOSFETs to model biological channels and proposes energy-efficient, bioin-spired neuron and synapse circuits for reconfigurable analog hardware. The proposed circuits are experimentally evaluated in the context of a two-neuron oscillator on an in-house SoC field-programmable analog array in a 350 nm CMOS process.
Date of Conference: 06-09 August 2023
Date Added to IEEE Xplore: 31 January 2024
ISBN Information:
ISSN Information:
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Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Neural Circuits ,
- Dynamical ,
- Depolarization ,
- Low-pass ,
- Time Constant ,
- Decay Rate ,
- Current Source ,
- Excitatory Postsynaptic Currents ,
- Repolarization ,
- Channel Gating ,
- Parasitic Capacitance ,
- Input Current ,
- Hot Electrons ,
- Band Diagram ,
- Drain Current ,
- Slew Rate ,
- Strength Of Synapses ,
- Triangular Waveform ,
- DC Level
Contents Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Neural Circuits ,
- Dynamical ,
- Depolarization ,
- Low-pass ,
- Time Constant ,
- Decay Rate ,
- Current Source ,
- Excitatory Postsynaptic Currents ,
- Repolarization ,
- Channel Gating ,
- Parasitic Capacitance ,
- Input Current ,
- Hot Electrons ,
- Band Diagram ,
- Drain Current ,
- Slew Rate ,
- Strength Of Synapses ,
- Triangular Waveform ,
- DC Level
