Neural Network simulation

4 papers with code • 0 benchmarks • 0 datasets

Simulation of abstract or biophysical neural networks in silico

Most implemented papers

BindsNET: A machine learning-oriented spiking neural networks library in Python

Hananel-Hazan/bindsnet 4 Jun 2018

In this paper, we describe a new Python package for the simulation of spiking neural networks, specifically geared towards machine learning and reinforcement learning.

Neural Network-Hardware Co-design for Scalable RRAM-based BNN Accelerators

YulhwaKim/RRAMScalable_BNN 6 Nov 2018

Recently, RRAM-based Binary Neural Network (BNN) hardware has been gaining interests as it requires 1-bit sense-amp only and eliminates the need for high-resolution ADC and DAC.

Physics-informed neural network simulation of multiphase poroelasticity using stress-split sequential training

sciann/sciann-applications 6 Oct 2021

Physics-informed neural networks (PINNs) have received significant attention as a unified framework for forward, inverse, and surrogate modeling of problems governed by partial differential equations (PDEs).

Benchmarking Data-driven Surrogate Simulators for Artificial Electromagnetic Materials

ydeng-MLM/ML_MM_Benchmark NeurIPS 2021

Recently, it has been shown that deep learning can be an alternative solution to infer the relationship between an AEM geometry and its properties using a (relatively) small pool of CEMS data.