Copertina

Biological computation through recurrence

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Vidal-Saez, Maria Sol, Vilarroya, Oscar, Garcia-Ojalvo, Jordi
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Neurons and Cognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

A multiscale sensorimotor model of experience-dependent behavior in a minimal organism
di: Vidal-Saez, Maria Sol, et al.
Pubblicazione: (2024)

Role of connectivity anisotropies in the dynamics of cultured neuronal networks
di: Houben, Akke Mats, et al.
Pubblicazione: (2025)

Reinforcement learning in densely recurrent biological networks
di: Churchland, Miles Walter, et al.
Pubblicazione: (2025)

Rosetta Stone of Neural Mass Models
di: Castaldo, Francesca, et al.
Pubblicazione: (2025)

gPC-based robustness analysis of neural systems through probabilistic recurrence metrics
di: Sutulovic, Uros, et al.
Pubblicazione: (2026)

Shaping manifolds in equivariant recurrent neural networks
di: Di Bernardo, Arianna, et al.
Pubblicazione: (2025)

Aligned and oblique dynamics in recurrent neural networks
di: Schuessler, Friedrich, et al.
Pubblicazione: (2023)

Brain-inspired, interpretable, resonant recurrent neural networks
di: Kramer, Mark A.
Pubblicazione: (2025)

Shaping the distribution of neural responses with interneurons in a recurrent circuit model
di: Lipshutz, David, et al.
Pubblicazione: (2024)

On graphical domination for threshold-linear networks with recurrent excitation and global inhibition
di: Curto, Carina
Pubblicazione: (2025)

Active filtering: a predictive function of recurrent circuits of sensory cortex
di: Histed, Mark H.
Pubblicazione: (2025)

Multiple mechanisms of rhythm switching in recurrent neural networks with adaptive time constants
di: Yamaguti, Yutaka, et al.
Pubblicazione: (2026)

Feedback promotes efficient-coding while attenuating bias in recurrent neural networks
di: Kular, Holly, et al.
Pubblicazione: (2025)

Inferring brain plasticity rule under long-term stimulation with structured recurrent dynamics
di: Liang, Zhichao, et al.
Pubblicazione: (2026)

Information in a recurrent Retina-V1 network with realistic noise, feedback and nonlinearities
di: Rodríguez, Javier, et al.
Pubblicazione: (2026)

An image-computable model of speeded decision-making
di: Jaffe, Paul I., et al.
Pubblicazione: (2024)

Discounting and Drug Seeking in Biological Hierarchical Reinforcement Learning
di: Palod, Vardhan, et al.
Pubblicazione: (2025)

A computational account of the development and evolution of psychotic symptoms
di: Powers, Albert, et al.
Pubblicazione: (2024)

Primate-like perceptual decision making emerges through deep recurrent reinforcement learning
di: Wispinski, Nathan J., et al.
Pubblicazione: (2026)

Starting a Synthetic Biological Intelligence Lab from Scratch
di: Tanveer, Md Sayed, et al.
Pubblicazione: (2024)

Formation of Artificial Neural Assemblies by Biologically Plausible Inhibition Mechanisms
di: Hoff, Lucas, et al.
Pubblicazione: (2026)

A Biologically Plausible Dense Associative Memory with Exponential Capacity
di: Kafraj, Mohadeseh Shafiei, et al.
Pubblicazione: (2026)

Structural and dynamical strategies to prevent runaway excitation in reservoir computing
di: Metzner, Claus, et al.
Pubblicazione: (2026)

Gray Anchoring: a New Computational Theory for Biological Color Constancy
di: Yang, Kai-Fu, et al.
Pubblicazione: (2024)

Enabling self-identification in intelligent agent: insights from computational psychoanalysis
di: Li, Lingyu, et al.
Pubblicazione: (2024)

Beyond spiking networks: the computational advantages of dendritic amplification and input segregation
di: Capone, Cristiano, et al.
Pubblicazione: (2022)

Latent computing by biological neural networks: A dynamical systems framework
di: Dinc, Fatih, et al.
Pubblicazione: (2025)

From Transformer to Biology: A Hierarchical Model for Attention in Complex Problem-Solving
di: Lin, Zhongqiao, et al.
Pubblicazione: (2024)

Vagus nerve stimulation: Laying the groundwork for predictive network-based computer models
di: Ingham, John F., et al.
Pubblicazione: (2024)

BEOL Electro-Biological Interface for 1024-Channel TFT Neurostimulator with Cultured DRG Neurons
di: Zhou, Haobin, et al.
Pubblicazione: (2024)

Bootstrapping Life-Inspired Machine Intelligence: The Biological Route from Chemistry to Cognition and Creativity
di: Pezzulo, Giovanni, et al.
Pubblicazione: (2026)

Evolving reservoir computers reveals bidirectional coupling between predictive power and emergent dynamics
di: Tolle, Hanna M., et al.
Pubblicazione: (2024)

Audited calibration under regime shift as a computational test of support-structured broadcast
di: Walsh, Mark
Pubblicazione: (2026)

Measuring amount of computation done by C.elegans using whole brain neural activity
di: Li, Junang, et al.
Pubblicazione: (2025)

Conduction velocity of intracortical axons in monkey primary visual cortex grows with distance: implications for computation
di: Zhaoping, Li
Pubblicazione: (2025)

How Intrinsic Motivation Underlies Embodied Open-Ended Behavior
di: Moreno-Bote, Rubén, et al.
Pubblicazione: (2026)

How does the inner retinal network shape the ganglion cells receptive field : a computational study
di: Kartsaki, Evgenia, et al.
Pubblicazione: (2024)

A UDP Packet Format Establishing Adress Event Representation Communication Between Remote Neuromorphic and Biological Setups
di: Mayr, Christian Georg, et al.
Pubblicazione: (2025)

The nature of quantum parallel processing and its implications for coding in brain neural networks: a novel computational mechanism
di: Johnson, Andrew S, et al.
Pubblicazione: (2025)

Texture Recognition Using a Biologically Plausible Spiking Phase-Locked Loop Model for Spike Train Frequency Decomposition
di: Mastella, Michele, et al.
Pubblicazione: (2024)