Cover Image

Deep Learning Models for Atypical Serotonergic Cells Recognition

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Corradetti, Daniele, Bernardi, Alessandro, Corradetti, Renato
Format:	Preprint
Published:	2024
Subjects:	Neurons and Cognition Computational Engineering, Finance, and Science
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Synthetic Data for Discriminating Serotonergic Neurons using Convolutional Neural Networks
by: Corradetti, Daniele, et al.
Published: (2024)

BrainMass: Advancing Brain Network Analysis for Diagnosis with Large-scale Self-Supervised Learning
by: Yang, Yanwu, et al.
Published: (2024)

Identification of Epileptic Spasms (ESES) Phases Using EEG Signals: A Vision Transformer Approach
by: Gong, Wei, et al.
Published: (2024)

Exploring EEG Responses during Observation of Actions Performed by Human Actor and Humanoid Robot
by: Nguyen, Anh T., et al.
Published: (2025)

Accurate identification of communication between multiple interacting neural populations
by: Liu, Belle, et al.
Published: (2025)

Personalized Transcranial Electrical Stimulation: A Review of Computational Modeling and Optimization
by: Wang, Mo, et al.
Published: (2025)

Classification of Raw MEG/EEG Data with Detach-Rocket Ensemble: An Improved ROCKET Algorithm for Multivariate Time Series Analysis
by: Solana, Adrià, et al.
Published: (2024)

A Disentangled Low-Rank RNN Framework for Uncovering Neural Connectivity and Dynamics
by: Li, Chengrui, et al.
Published: (2025)

From Brain Models to Executable Digital Twins: Execution Semantics and Neuro-Neuromorphic Systems
by: Muzy, Alexandre
Published: (2026)

Plastic Arbor: a modern simulation framework for synaptic plasticity -- from single synapses to networks of morphological neurons
by: Luboeinski, Jannik, et al.
Published: (2024)

The Principle of Maximum Heterogeneity Optimises Productivity in Distributed Production Systems Across Biology, Economics, and Computing
by: Artis, Guillhem, et al.
Published: (2026)

Role of Data-driven Regional Growth Model in Shaping Brain Folding Patterns
by: Hou, Jixin, et al.
Published: (2024)

Inverse Reinforcement Learning via Convex Optimization
by: Zhu, Hao, et al.
Published: (2025)

A Differentiable Approach to Multi-scale Brain Modeling
by: Wang, Chaoming, et al.
Published: (2024)

Solving Inverse Problem for Multi-armed Bandits via Convex Optimization
by: Zhu, Hao, et al.
Published: (2025)

Identification of Stone Deterioration Patterns with Large Multimodal Models
by: Corradetti, Daniele, et al.
Published: (2024)

Predicting Neuromodulation Outcome for Parkinson's Disease with Generative Virtual Brain Model
by: Du, Siyuan, et al.
Published: (2026)

Brain-Like Replay Naturally Emerges in Reinforcement Learning Agents
by: Wang, Jiyi, et al.
Published: (2024)

GazeBehavior Annotation Toolkit (GBAT): AI-powered toolkit for automatic annotation of egocentric eye-tracking and video data of child-caregiver interaction
by: Baig, Iba, et al.
Published: (2026)

Fitting Reinforcement Learning Model to Behavioral Data under Bandits
by: Zhu, Hao, et al.
Published: (2025)

An open-source Modular Online Psychophysics Platform (MOPP)
by: Samoilov-Kats, Yuval, et al.
Published: (2025)

Multiscale Causal Geometric Deep Learning for Modeling Brain Structure
by: Xia, Chengzhi, et al.
Published: (2025)

Deep Learning Pose Estimation for Multi-Label Recognition of Combined Hyperkinetic Movement Disorders
by: Cif, Laura, et al.
Published: (2026)

Learning Hippo: Multi-attractor Dynamics and Stability Effects in a Biologically Detailed CA3 Extension of Hopfield Networks
by: Corradetti, Daniele, et al.
Published: (2026)

Integral Betti signature confirms the hyperbolic geometry of brain, climate, and financial networks
by: Caputi, Luigi, et al.
Published: (2024)

Real-World fNIRS-Based Brain-Computer Interfaces: Benchmarking Deep Learning and Classical Models in Interactive Gaming
by: Ghalavand, Mohammad, et al.
Published: (2025)

From Modules to Movement: Deconstructing the Modular Architecture of the Motor System
by: Salatiello, Alessandro
Published: (2026)

Enhancing Olfactory Perception Through Large Language Models: Integrating Sensory Data for Advanced Odor Recognition
by: K, Ravirajan, et al.
Published: (2025)

Modeling Language Evolution Using a Spin Glass Approach
by: Yarahmadi, Hediye, et al.
Published: (2025)

A Model-Free Method to Quantify Memory Utilization in Neural Point Processes
by: Mijatovic, Gorana, et al.
Published: (2024)

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

MLE-Toolbox: An Open-Source Toolbox for Comprehensive EEG and MEG Data Analysis
by: Liu, Xiaobo
Published: (2026)

Sparse Autoencoders Bridge The Deep Learning Model and The Brain
by: Mao, Ziming, et al.
Published: (2025)

The Hippocampal Place Field Gradient: An Eigenmode Theory Linking Grid Cell Projections to Multiscale Learning
by: Zhou, Shujun, et al.
Published: (2025)

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

Efficient and faithful reconstruction of dynamical attractors using homogeneous differentiators
by: Sutulovic, Uros, et al.
Published: (2025)

A tutorial on electrogastrography using low-cost hardware and open-source software
by: Anisimova, Evgeniya, et al.
Published: (2025)

Multiple Neuronal Specializations Elicited By Socially Driven Recognition Of Food Odors
by: Plusnin, Viktor, et al.
Published: (2024)

Exploring a Specialized Eccentricity-Based Deep Neural Network Model to Simulate Visual Attention
by: Jain, Manvi
Published: (2025)

If Grid Cells are the Answer, What is the Question? A Review of Normative Grid Cell Theory
by: Dorrell, William, et al.
Published: (2026)