:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Rudnicka, Zofia, Proniewska, Klaudia, Perkins, Mark, Pregowska, Agnieszka
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Neurons and Cognition
Accesso online:	https://arxiv.org/abs/2401.14208
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Artificial Intelligence-based algorithms in medical image scan seg-mentation and intelligent visual-content generation -- a concise overview
di: Rudnicka, Zofia, et al.
Pubblicazione: (2024)

Impact of Neuron Models on Spiking Neural Networks performance. A Complexity Based Classification Approach
di: Rudnicka, Zofia, et al.
Pubblicazione: (2025)

Accuracy-Efficiency Trade-Offs in Spiking Neural Networks: A Lempel-Ziv Complexity Perspective on Learning Rules
di: Rudnicka, Zofia, et al.
Pubblicazione: (2025)

Learning Internal Biological Neuron Parameters and Complexity-Based Encoding for Improved Spiking Neural Networks Performance
di: Rudnicka, Zofia, et al.
Pubblicazione: (2025)

Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection
di: Rudnicka, Zofia, et al.
Pubblicazione: (2025)

Improving Liver Disease Diagnosis with SNNDeep: A Custom Spiking Neural Network Using Diverse Learning Algorithms
di: Rudnicka, Zofia, et al.
Pubblicazione: (2025)

How scanning probe microscopy can be supported by Artificial Intelligence and quantum computing
di: Pregowska, Agnieszka, et al.
Pubblicazione: (2024)

Implicit neural representations for larval zebrafish brain microscopy: a reproducible benchmark on the MapZebrain atlas
di: Pregowska, Agnieszka
Pubblicazione: (2026)

Ghost in the Machine: Examining the Philosophical Implications of Recursive Algorithms in Artificial Intelligence Systems
di: Jegels, Llewellin RG
Pubblicazione: (2025)

EEG-fused Digital Twin Brain for Autonomous Driving in Virtual Scenarios
di: Hou, Yubo, et al.
Pubblicazione: (2025)

Beyond Neural Activity Prediction: Probing Latent Representations in Mouse V1 Digital Twins
di: Lima, Adriano, et al.
Pubblicazione: (2026)

Brain-inspired and Self-based Artificial Intelligence
di: Zeng, Yi, et al.
Pubblicazione: (2024)

Artificial Intelligence as an Opportunity for the Science of Consciousness: A Dual-Resolution Framework
di: Dror, Shahar, et al.
Pubblicazione: (2025)

Nonlinear shift along the sensorimotor-association-axis in brain responses to task performance
di: Cao, Fan, et al.
Pubblicazione: (2025)

From Artificial Intelligence to Active Inference: The Key to True AI and 6G World Brain [Invited]
di: Maier, Martin
Pubblicazione: (2025)

Generating synthetic light-adapted electroretinogram waveforms using Artificial Intelligence to improve classification of retinal conditions in under-represented populations
di: Kulyabin, Mikhail, et al.
Pubblicazione: (2024)

Building Artificial Intelligence with Creative Agency and Self-hood
di: Gabora, Liane, et al.
Pubblicazione: (2024)

Path to Intelligence: Measuring Similarity between Human Brain and Large Language Model Beyond Language Task
di: Ngo, Doai, et al.
Pubblicazione: (2025)

Dyadic Neural Dynamics: Extending Representation Learning to Social Neuroscience
di: Glushanina, Maria, et al.
Pubblicazione: (2025)

Psychology of Artificial Intelligence: Epistemological Markers of the Cognitive Analysis of Neural Networks
di: Pichat, Michael
Pubblicazione: (2024)

Artificial Human Intelligence: The role of Humans in the Development of Next Generation AI
di: Arslan, Suayb S.
Pubblicazione: (2024)

Dissociating Artificial Intelligence from Artificial Consciousness
di: Findlay, Graham, et al.
Pubblicazione: (2024)

Metalearning-Informed Competence in Children: Implications for Responsible Brain-Inspired Artificial Intelligence
di: Singh, Chaitanya
Pubblicazione: (2023)

Orangutan: A Multiscale Brain Emulation-Based Artificial Intelligence Framework for Dynamic Environments
di: Xie, Yong
Pubblicazione: (2024)

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

Artificial Neural Networks for Magnetoencephalography: A review of an emerging field
di: Dehgan, Arthur, et al.
Pubblicazione: (2025)

Accurate linear modeling of EEG-based cortical activity during a passive motor task with input: a sub-space identification approach
di: Bakels, Sanna, et al.
Pubblicazione: (2025)

Extended predictive coding framework as variational free-energy minimisation under exponential-family assumption
di: Kataoka, Asaki, et al.
Pubblicazione: (2026)

Mortal Computation: A Foundation for Biomimetic Intelligence
di: Ororbia, Alexander, et al.
Pubblicazione: (2023)

A Turing Test for Artificial Nets devoted to model Human Vision
di: Vila-Tomás, Jorge, et al.
Pubblicazione: (2025)

The Spatiotemporal Organization of Motor Cortex Activity Supporting Manual Dexterity
di: Chehade, Nicholas
Pubblicazione: (2025)

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

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

Neural Constraints on Cognitive Experience and Mental Health
di: Shariatpanahi, Bita, et al.
Pubblicazione: (2025)

Metric-Topology Factorization: A Computational Framework for Hippocampal-Neocortical Intelligence
di: Li, Xin
Pubblicazione: (2026)

On Questions of Predictability and Control of an Intelligent System Using Probabilistic State-Transitions
di: Taranath, Jayanth R
Pubblicazione: (2025)

A generic model of consciousness
di: Hadley, Mark J.
Pubblicazione: (2024)

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

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

From Thought to Action: How a Hierarchy of Neural Dynamics Supports Language Production
di: Zhang, Mingfang, et al.
Pubblicazione: (2025)