Analog Weight Update Rule in Ferroelectric Hafnia, Using picoJoule Programming Pulses
Advanced Electronic Materials, EarlyView.Resistive, ferroelectric synaptic weights based on BEOL‐compatible hafnia/zirconia nanolaminates are fabricated. Lateral downscaling the devices below 10 µm2 enables 20 ns programming with electrical pulses, dissipating ≤ 3 pJ. Experimental results show that final conductance state is set by pulse amplitude, and is largely independent of the initial ...
Alexandre Baigol +7 more
wiley +1 more source
Synchronization of Analog Neuron Circuits With Digital Memristive Synapses: An Hybrid Approach
Advanced Electronic Materials, EarlyView.An hybrid circuit mimicking neural units coupled using memristive synapses is introduced. The analog neurons provide flexibility and robustness, and the digital memristive coupling guarantees the full reconfigurability of the interconnection. The onset of a synchronized spiking behavior in two circuits mimicking the Izhikevich neuron is discussed from ...
Lamberto Carnazza +3 more
wiley +1 more source
Topology-aware design of spiking neural networks via modular graph architectures. [PDF]
PLoS OneMotaghian F +3 more
europepmc +1 more source
On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification
Advanced Electronic Materials, EarlyView.ABSTRACT Reservoir computing (RC) is an emerging recurrent neural network architecture that has attracted growing attention for its low training cost and modest hardware requirements. Memristor‐based circuits are particularly promising for RC, as their intrinsic dynamics can reduce network size and parameter overhead in tasks such as time‐series ...
Rishona Daniels +4 more
wiley +1 more source
Evolving spiking neural networks: the role of neuron models and encoding schemes in neuromorphic learning. [PDF]
Front NeurosciLoyola-Jara B +2 more
europepmc +1 more source
Microglia Modulate Information Processing in the Mouse Barrel Cortex. [PDF]
J NeurosciKirály B +8 more
europepmc +1 more source
Activity-dependent neuromodulation and calcium homeostasis cooperate to produce robust and modulable neuronal function. [PDF]
PLoS Comput BiolFyon A, Drion G.
europepmc +1 more source
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We propose two control strategies for achieving desired firing patterns in a physiologically realistic model neuron. The techniques are powerful, efficient, and robust, and we have applied them successfully to obtain a range of targeted spiking behaviors.
S, Sinha, W L, Ditto
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Decoding spikes in a spiking neuronal network
Journal of Physics A: Mathematical and General, 2004Summary: We investigate how to reliably decode the input information from the output of a spiking neuronal network. A maximum likelihood estimator of the input signal, together with its Fisher information, is rigorously calculated. The advantage of the maximum likelihood estimation over the 'brute-force rate coding' estimate is clearly demonstrated. It
Feng, Jianfeng, Ding, Mingzhou
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Spiking neuron models for regular-spiking, intrinsically bursting, and fast-spiking neurons
ICONIP'99. ANZIIS'99 & ANNES'99 & ACNN'99. 6th International Conference on Neural Information Processing. Proceedings (Cat. No.99EX378), 2003Simplified models are proposed as variants of the integrate-and-fire-model for an intrinsically bursting (IB) neuron and for a fast-firing (FS) neuron taking refractory periods into consideration. A model of a regular-spiking neuron is also described in the conventional manner for the sake of comparison.
S. Inawashiro, S. Miyake, M. Ito
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