Cover Image

The hardware is the software

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Laydevant, Jeremie, Wright, Logan G., Wang, Tianyu, McMahon, Peter L.
Format:	Preprint
Published:	2023
Subjects:	Emerging Technologies Neural and Evolutionary Computing Neurons and Cognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Computational Perspective on NeuroAI and Synthetic Biological Intelligence
by: Patel, Dhruvik, et al.
Published: (2025)

Synthetic Biology meets Neuromorphic Computing: Towards a bio-inspired Olfactory Perception System
by: Max, Kevin, et al.
Published: (2025)

Brain-inspired AI Agent: The Way Towards AGI
by: Yu, Bo, et al.
Published: (2024)

Contrastive Learning in Memristor-based Neuromorphic Systems
by: Merkel, Cory, et al.
Published: (2024)

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher
by: Aquino, Tomas Gallo, et al.
Published: (2025)

Physical Foundation Models: Fixed hardware implementations of large-scale neural networks
by: Wright, Logan G, et al.
Published: (2026)

Quantum-limited stochastic optical neural networks operating at a few quanta per activation
by: Ma, Shi-Yuan, et al.
Published: (2023)

Spike-based alignment learning solves the weight transport problem
by: Gierlich, Timo, et al.
Published: (2025)

CL API: Real-Time Closed-Loop Interactions with Biological Neural Networks
by: Hogan, David, et al.
Published: (2026)

Embodied Neurocomputation: A Framework for Interfacing Biological Neural Cultures with Scaled Task-Driven Validation
by: Zhou, Johnson, et al.
Published: (2026)

Optical Transformers
by: Anderson, Maxwell G., et al.
Published: (2023)

A fully parallel densely connected probabilistic Ising machine with inertia for real-time applications
by: Zhu, Ruomin, et al.
Published: (2026)

Neural Computation Without Slots: Steps Towards Biologically Plausible Memory and Attention in Natural and Artificial Intelligence
by: Bhandarkar, Shaunak, et al.
Published: (2025)

A Practical Guide to Tuning Spiking Neuronal Dynamics
by: Gebhardt, William, et al.
Published: (2025)

Unsupervised End-to-End Training with a Self-Defined Target
by: Liu, Dongshu, et al.
Published: (2024)

The generalized Hierarchical Gaussian Filter
by: Weber, Lilian Aline, et al.
Published: (2023)

Spatial Spiking Neural Networks Enable Efficient and Robust Temporal Computation
by: Landsmeer, Lennart P. L., et al.
Published: (2025)

Biologically-Plausible Topology Improved Spiking Actor Network for Efficient Deep Reinforcement Learning
by: Zhang, Duzhen, et al.
Published: (2024)

"What" x "When" working memory representations using Laplace Neural Manifolds
by: Sarkar, Aakash, et al.
Published: (2024)

Bridging Brains and Machines: A Unified Frontier in Neuroscience, Artificial Intelligence, and Neuromorphic Systems
by: Shankar, Sohan, et al.
Published: (2025)

On Broken Symmetry in Cognition
by: Li, Xin
Published: (2023)

Smooth Exact Gradient Descent Learning in Spiking Neural Networks
by: Klos, Christian, et al.
Published: (2023)

Long-Range Feedback Spiking Network Captures Dynamic and Static Representations of the Visual Cortex under Movie Stimuli
by: Huang, Liwei, et al.
Published: (2023)

Confidence and second-order errors in cortical circuits
by: Granier, Arno, et al.
Published: (2023)

Two-compartment neuronal spiking model expressing brain-state specific apical-amplification, -isolation and -drive regimes
by: Pastorelli, Elena, et al.
Published: (2023)

Emergent mechanisms for long timescales depend on training curriculum and affect performance in memory tasks
by: Khajehabdollahi, Sina, et al.
Published: (2023)

Teaching signal synchronization in deep neural networks with prospective neurons
by: Zucchet, Nicoas, et al.
Published: (2025)

Building functional and mechanistic models of cortical computation based on canonical cell type connectivity
by: Granier, Arno, et al.
Published: (2025)

Analysis of a Spatialized Brain-Body-Environment System
by: Pak, Denizhan, et al.
Published: (2025)

Exploring the role of structure in a time constrained decision task
by: Chaix-Eichel, Naomi, et al.
Published: (2024)

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

A Unified Phase-native Computational Principle Governs Hippocampal Spike Timing and Neural Coding
by: Ahmadvand, Reza, et al.
Published: (2026)

Reply to: Limitations in odour recognition and generalisation in a neuromorphic olfactory circuit
by: Moyal, Roy, et al.
Published: (2024)

Time-Evolving Dynamical System for Learning Latent Representations of Mouse Visual Neural Activity
by: Huang, Liwei, et al.
Published: (2024)

A Spatiotemporal Perspective on Dynamical Computation in Neural Information Processing Systems
by: Keller, T. Anderson, et al.
Published: (2024)

Regime Mapping of Oscillatory States in Balanced Spiking Networks with Multiple Time Scales
by: Kuo, Tsung-Han, et al.
Published: (2026)

Canonical Functionalism: Defining Functional Structure without Observer-Relative Semantic Maps
by: Kanai, Ryota, et al.
Published: (2026)

BrainFuse: a unified infrastructure integrating realistic biological modeling and core AI methodology
by: Chen, Baiyu, et al.
Published: (2026)

Heterogeneous quantization regularizes spiking neural network activity
by: Moyal, Roy, et al.
Published: (2024)

Evolving choice hysteresis in reinforcement learning: comparing the adaptive value of positivity bias and gradual perseveration
by: Hoxha, Isabelle, et al.
Published: (2024)