Latest Research in Neurons and Cognition
16 research papers · 2026 median publication year
Top Research Topics in Neurons and Cognition
- Neurons and Cognition — 3 papers
- Neural dynamics and brain function — 3 papers
- Methodology — 2 papers
- Functional Brain Connectivity Studies — 1 papers
- Machine Learning — 1 papers
- Neural Networks and Reservoir Computing — 1 papers
- Advanced Data Storage Technologies — 1 papers
- Advanced Memory and Neural Computing — 1 papers
- Vestibular and auditory disorders — 1 papers
- Biochemical Analysis and Sensing Techniques — 1 papers
Highest-Cited Papers
- Data-driven mean-field within whole-brain models
- Neural noise enables accurate internal simulation of rare events
- Hierarchical feature binding in a spiking neural network model of the primate ventral visual pathway
- Decoding Neuronal Ensembles from Spatially-Referenced Calcium Traces: A Bayesian Semiparametric Approach
- Axonal delay dispersion decides whether a neuron detects an event or a sequence, and predicts cortical column diameter
- Prospective Coding Improves Learning in Deep Continuous-Time Recurrent Networks
- A unified model of short- and long-term plasticity: Effects on network connectivity and information capacity
- Low-Complexity Three-Layer GII Encoders Based on a Grouping Strategy
- SUSNN: A Self-Unifying Spiking Neural Network Architecture Driven by Prediction-Error Minimization
- Bits per Spike as a Betting Game: An Interpretable Unit for Held-Out Log-Likelihood in Neural Data Analysis
- Cerebellar microcircuits enable robust evidence-based decisions through cortico–cerebellar coupling
- Joint encoding of “what” and “when” predictions through error-modulated plasticity in biologically plausible spiking networks
- Graph-based complexity and computational capabilities of proteinoid spike systems
- Tuft dendrite spikes are accompanied by selective input from distinct functional networks
- Finite-state Markovian surrogates for long-time neuronal state distributions and firing rates
- Compositional neurosymbolic representations enable efficient active exploration