Methods and apparatus for fusion of sensory transduction and neuromorphic computation

Abstract

Methods and apparatus disclosed herein introduce a novel integration of sensing and neuromorphic computation that addresses the energy, latency, and complexity challenges of conventional event-based vision pipelines. A monolithic neuromorphic sensor fuses sensing and computation into a single neuro-transducer cell, including pixels that contain a photonic transducer, a membrane capacitor, and a Leaky Integrate-and-Fire (LIF) neuron whose membrane potential is driven directly by a raw physical stimulus rather than by an injected current. Adjacent neuro-transducers are linked by non-volatile, programmable RRAM synapses that store multi-bit weights and are updated locally via Spike-Timing-Dependent Plasticity (STDP)-compatible write pulses.

Dependencies are inferred from the claim text.