:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Landry, Nicholas W., Hyde, Beckett R., Perez, Jake C., Shaheen, Sean E., Restrepo, Juan G.
Format:	Preprint
Published:	2024
Subjects:	Neural and Evolutionary Computing
Online Access:	https://arxiv.org/abs/2408.09223
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Reservoir computing with large valid prediction time for the Lorenz system
by: Hurley, Lauren A, et al.
Published: (2025)

Neuromorphic on-chip reservoir computing with spiking neural network architectures
by: Karki, Samip, et al.
Published: (2024)

Infinite-dimensional next-generation reservoir computing
by: Grigoryeva, Lyudmila, et al.
Published: (2024)

TDE-3: An improved prior for optical flow computation in spiking neural networks
by: Yedutenko, Matthew, et al.
Published: (2024)

Practical design and performance of physical reservoir computing using hysteresis
by: Yamada, Yuhei
Published: (2025)

Universality of reservoir systems with recurrent neural networks
by: Yasumoto, Hiroki, et al.
Published: (2024)

Asymmetrically connected reservoir networks learn better
by: Rathor, Shailendra K., et al.
Published: (2024)

Exploiting heterogeneous delays for efficient computation in low-bit neural networks
by: Sun, Pengfei, et al.
Published: (2025)

Elucidating the theoretical underpinnings of surrogate gradient learning in spiking neural networks
by: Gygax, Julia, et al.
Published: (2024)

Oscillations enhance time-series prediction in reservoir computing with feedback
by: Kawai, Yuji, et al.
Published: (2024)

Exploring the origins of switching dynamics in a multifunctional reservoir computer
by: Flynn, Andrew, et al.
Published: (2024)

A flexible framework for structural plasticity in GPU-accelerated sparse spiking neural networks
by: Knight, James C., et al.
Published: (2025)

Spike-based computation using classical recurrent neural networks
by: De Geeter, Florent, et al.
Published: (2023)

GeNeX: Genetic Network eXperts framework for addressing Validation Overfitting
by: Pintelas, Emmanuel, et al.
Published: (2026)

How more data can hurt: Instability and regularization in next-generation reservoir computing
by: Zhang, Yuanzhao, et al.
Published: (2024)

Developing a novel Comorbidities Index for predicting 10-year mortality in Prostate Cancer patients: A computational data-driven approach
by: Farinati, Davide, et al.
Published: (2026)

Waves and symbols in neuromorphic hardware: from analog signal processing to digital computing on the same computational substrate
by: Zendrikov, Dmitrii, et al.
Published: (2025)

Using evolutionary computation to optimize task performance of unclocked, recurrent Boolean circuits in FPGAs
by: Norman-Tenazas, Raphael, et al.
Published: (2024)

Effects of cavity nonlinearities and linear losses on silicon microring-based reservoir computing
by: Castro, Bernard J. Giron, et al.
Published: (2023)

Evolutionary feature selection for spiking neural network pattern classifiers
by: Valko, Michal, et al.
Published: (2026)

DelRec: learning delays in recurrent spiking neural networks
by: Queant, Alexandre, et al.
Published: (2025)

Bellman Memory Units: A neuromorphic framework for synaptic reinforcement learning with an evolving network topology
by: Banerjee, Shreyan, et al.
Published: (2025)

A computational approach to visual ecology with deep reinforcement learning
by: Sokoloski, Sacha, et al.
Published: (2024)

Cognition without neurons: modelling anticipation in a basal reservoir computer
by: Bruna, Polyphony, et al.
Published: (2025)

Reservoir computing with logistic map
by: Arun, R., et al.
Published: (2024)

Neuromorphic Keyword Spotting with Pulse Density Modulation MEMS Microphones
by: Yarga, Sidi Yaya Arnaud, et al.
Published: (2024)

Three tiers of computation in transformers and in brain architectures
by: Graham, E, et al.
Published: (2025)

Information flow and Laplacian dynamics on local optima networks
by: Richter, Hendrik, et al.
Published: (2024)

The working principles of model-based GAs fall within the PAC framework: A mathematical theory of problem decomposition
by: Yu, Tian-Li, et al.
Published: (2025)

Automated Optimal Layout Generator for Animal Shelters: A framework based on Genetic Algorithm, TOPSIS and Graph Theory
by: Jalayer, Arghavan, et al.
Published: (2024)

An algorithmic framework for the optimization of deep neural networks architectures and hyperparameters
by: Keisler, Julie, et al.
Published: (2023)

Physics-informed neural network for modeling dynamic linear elasticity
by: Kag, Vijay, et al.
Published: (2023)

Von Economo neurons enable reliable social skill acquisition in recurrent spiking neural networks: a computational account with clinical predictions
by: Keskin, Esila
Published: (2026)

Efficient event-driven retrieval in high-capacity kernel Hopfield networks
by: Tamamori, Akira
Published: (2026)

Algorithm-hardware co-design of neuromorphic networks with dual memory pathways
by: Sun, Pengfei, et al.
Published: (2025)

Generative thermodynamic computing
by: Whitelam, Stephen
Published: (2025)

Neural reservoir control of a soft bio-hybrid arm
by: Naughton, Noel, et al.
Published: (2025)

Neural networks for neurocomputing circuits: a computational study of tolerance to noise and activation function non-uniformity when machine learning materials properties
by: Thant, Ye min, et al.
Published: (2025)

Structure of activity in multiregion recurrent neural networks
by: Clark, David G., et al.
Published: (2024)

A two-stage algorithm in evolutionary product unit neural networks for classification
by: Tallón-Ballesteros, Antonio J., et al.
Published: (2024)