Quartz 5

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09 Citations

138 items under this folder.

Nov 13, 2025
Oscillatory multiplexing of neural population codes for interval timing and working memory
Nov 13, 2025
What makes us tick? Functional and neural mechanisms of interval timing
Nov 13, 2025
Cortico-striatal circuits and interval timing: coincidence detection of oscillatory processes
Nov 13, 2025
The neural representation of time distributed across multiple brain regions differs between implicit and explicit time demands
Nov 13, 2025
Automatic Autocorrelation and Spectral Analysis
Nov 13, 2025
An algorithm for the machine calculation of complex Fourier series
Nov 13, 2025
On Periodicity Detection and Structural Periodic Similarity
Nov 04, 2025
Eligibility Traces and Plasticity on Behavioral Time Scales: Experimental Support of NeoHebbian Three-Factor Learning Rules
Oct 30, 2025
Generative Models for Periodicity Detection in Noisy Signals
Oct 27, 2025
Benchmarking spiking neurons for linear quadratic regulator control of multi-linked pole on a cart: from single neuron to ensemble
Oct 27, 2025
Lagrange oscillatory neural networks for constraint satisfaction and optimization
Oct 24, 2025
The emergence of NeuroAI: bridging neuroscience and artificial intelligence
Oct 17, 2025
A neuromorphic multi-scale approach for real-time heart rate and state detection
Oct 16, 2025
Near real-time online reinforcement learning with synchronous or asynchronous updates
Oct 16, 2025
Interval timing in deep reinforcement learning agents
Oct 16, 2025
EdgeLSTM: Towards Deep and Sequential Edge Computing for IoT Applications
Oct 07, 2025
Real-time Anomaly Detection for Industrial Robotic Arms using Edge Computing
Oct 07, 2025
Periodicity detection algorithm and applications on IoT data
Oct 07, 2025
Periodicity Analysis of Most Time Series Methods: A Review
Oct 07, 2025
What is all the noise about in interval timing?
Oct 01, 2025
The Chronicles of 5G Non-Standalone: An Empirical Analysis of Performance and Service Evolution
Sep 27, 2025
Brain-inspired computing needs a master plan
Sep 27, 2025
Training Compute-Optimal Large Language Models
Aug 31, 2025
Integrating Models of Interval Timing and Reinforcement Learning
Aug 29, 2025
Resource Allocation in the Noise-Free Striatal Beat Frequency Model of Interval Timing
Jun 09, 2025
NeuroBench: A Framework for Benchmarking Neuromorphic Computing Algorithms and Systems
May 27, 2025
Brain rhythms have come of age
May 16, 2025
The Weighted Majority Algorithm
May 15, 2025
Pathophysiological distortions in time perception and timed performance
May 12, 2025
Optimal crawling strategies for web search engines
May 12, 2025
A probabilistic classifier ensemble weighting scheme based on cross-validated accuracy estimates
May 12, 2025
Learning From Sleeping Experts: Rewarding Informative, Available, and Accurate Experts
May 12, 2025
Periodic Time Series Data Analysis by Deep Learning Methodology
Apr 09, 2025
ePeriodicity: Mining Event Periodicity from Incomplete Observations
Mar 06, 2025
Human-Level Control Through Directly Trained Deep Spiking $Q$-Networks
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Mar 06, 2025
Surrogate gradients for analog neuromorphic computing
Mar 06, 2025
A Neural Mechanism for Sensing and Reproducing a Time Interval
Mar 06, 2025
Action suppression reveals opponent parallel control via striatal circuits
Mar 06, 2025
A model of multisecond timing behaviour under peak-interval procedures
Mar 06, 2025
Timing and time perception: A review of recent behavioral and neuroscience findings and theoretical directions
Mar 05, 2025
Deep Reinforcement Learning and its Neuroscientific Implications
Mar 05, 2025
Deep Reinforcement Learning with Spiking Q-learning
Jan 29, 2025
Training Spiking Neural Networks Using Lessons From Deep Learning
Jan 29, 2025
Strategy and Benchmark for Converting Deep Q-Networks to Event-Driven Spiking Neural Networks
Jan 29, 2025
The universal language network: A cross-linguistic investigation spanning 45 languages and 11 language families
Jan 29, 2025
Who Is @BasedBeffJezos, The Leader Of The Tech Elite’s ‘E/Acc’ Movement?
Jan 29, 2025
Learning with unknowns: Analyzing biological data in the presence of hidden variables
Jan 29, 2025
Hierarchical Reinforcement Learning: A Comprehensive Survey
Jan 29, 2025
Dynamical Systems in Spiking Neuromorphic Hardware
Jan 29, 2025
Slow processes of neurons enable a biologically plausible approximation to policy gradient
Jan 13, 2025
Neural and Behavioral Mechanisms of Interval Timing in the Striatum
Jan 09, 2025
Learning automata with changing number of actions
Dec 23, 2024
Optimal Exploration-Exploitation in a Multi-Armed-Bandit Problem with Non-stationary Rewards
Dec 20, 2024
Period Detection and Future Trend Prediction Using Machine Learning Techniques
Dec 20, 2024
Lecture 10: Contextual Bandits
Dec 18, 2024
FPGA architecture for feed-forward sequential memory network targeting long-term time-series forecasting
Dec 18, 2024
Staying up to Date with Online Content Changes Using Reinforcement Learning for Scheduling
Dec 18, 2024
On the dangers of stochastic parrots: Can language models be too big? 🦜
Oct 29, 2024
Information Theory for Complex Systems: An Information Perspective on Complexity in Dynamical Systems and Statistical Mechanics
Oct 14, 2024
A solution to the learning dilemma for recurrent networks of spiking neurons
Oct 14, 2024
Energy-aware bio-inspired spiking reinforcement learning system architecture for real-time autonomous edge applications
Oct 14, 2024
A million spiking-neuron integrated circuit with a scalable communication network and interface
Oct 14, 2024
A Survey of Neuromorphic Computing and Neural Networks in Hardware
Oct 14, 2024
AI Sensor Applications in Edge Computing
Oct 14, 2024
Solving QUBO on the Loihi 2 Neuromorphic Processor
Oct 14, 2024
Emerging opportunities and challenges for the future of reservoir computing
Sep 27, 2024
Scaling Brain Size, Keeping Timing: Evolutionary Preservation of Brain Rhythms
Sep 25, 2024
Neural oscillations are a start toward understanding brain activity rather than the end
Sep 25, 2024
Neurobiology of Feeding and Energy Expenditure
Sep 25, 2024
Central pattern generators evolved for real-time adaptation to rhythmic stimuli
Sep 17, 2024
Burst-dependent synaptic plasticity can coordinate learning in hierarchical circuits
Sep 13, 2024
Adversarial Bandits Policy for Crawling Commercial Web Content
Aug 28, 2024
A Biologically Inspired Computational Model of Time Perception
Aug 27, 2024
An Introduction to Stochastic Thermodynamics: From Basic to Advanced
Aug 27, 2024
Stochastic thermodynamics, fluctuation theorems, and molecular machines
Aug 23, 2024
Toward the third generation artificial intelligence
Jul 05, 2024
Computational principles of synaptic memory consolidation
Jul 05, 2024
Learning the temporal dynamics of behavior
Jun 07, 2024
Learning large-scale heteroassociative memories in spiking neurons
Jun 07, 2024
Simultaneous unsupervised and supervised learning of cognitive functions in biologically plausible spiking neural networks
Jun 06, 2024
Separable actions of acetylcholine and noradrenaline on neuronal ensemble formation in hippocampal CA3 circuits
Jun 05, 2024
A Spike in Performance: Training Hybrid-Spiking Neural Networks with Quantized Activation Functions
May 24, 2024
Three scenarios for continual learning
May 24, 2024
GMvandeVen/complex-synapses
May 24, 2024
Place cells may simply be memory cells: Memory compression leads to spatial tuning and history dependence
May 03, 2024
A Population-Based Model of the Temporal Memory in the Hippocampus
Apr 15, 2024
On the Import of Constraints in Complex Dynamical Systems
Apr 15, 2024
A three-node Turing gene circuit forms periodic spatial patterns in bacteria
Apr 08, 2024
Critical neural networks with short- and long-term plasticity
Apr 08, 2024
Deep Reinforcement Learning Enabled Self-Configurable Networks-on-Chip for High-Performance and Energy-Efficient Computing Systems
Apr 08, 2024
Reinforcement learning based energy-neutral operation for hybrid EH powered TBAN
Apr 05, 2024
Collective intelligence: A unifying concept for integrating biology across scales and substrates
Feb 15, 2024
Investigating the Catastrophic Forgetting in Multimodal Large Language Models
Feb 15, 2024
Catastrophic Interference in Connectionist Networks: The Sequential Learning Problem
Feb 15, 2024
Who Invented the Reverse Mode of Differentiation
Feb 15, 2024
Learning representations by back-propagating errors
Feb 13, 2024
The Cult of AI
Feb 13, 2024
Tech Bros Have Built A Cult Around AI - Behind the Bastards
Feb 13, 2024
The cost of training machines is becoming a problem
Feb 13, 2024
Timnit Gebru’s actual paper may explain why Google ejected her
Feb 13, 2024
Paul Taylor | Stochastic Parrots
Feb 13, 2024
On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? 🦜
Feb 12, 2024
NeuroAI - A strategic opportunity for Norway and Europe | Nordic Machine Intelligence
Feb 10, 2024
Research Methodology: Methods and Techniques
Feb 07, 2024
Research Methods: The Basics: 2nd edition
Feb 05, 2024
An artifact ontology for design science research
Jan 04, 2024
Neural Networks for Beat Perception in Musical Rhythm
Dec 04, 2023
Modularity and multitasking in neuro-memristive reservoir networks
Dec 04, 2023
Surrogate Gradient Learning in Spiking Neural Networks: Bringing the Power of Gradient-Based Optimization to Spiking Neural Networks
Dec 04, 2023
Data Visualization: Charts, Maps, and Interactive Graphics
Dec 04, 2023
Information Visualization: An Introduction
Dec 03, 2023
A New Look at Spike-Timing-Dependent Plasticity Networks for Spatio-Temporal Feature Learning
Nov 29, 2023
How to stop data centres from gobbling up the world’s electricity
Nov 29, 2023
Scaling Laws for Neural Language Models
Nov 28, 2023
Teaching Robots to Perceive Time: A Twofold Learning Approach
Nov 27, 2023
Correlations and functional connections in a population of grid cells
Nov 27, 2023
A review of learning in biologically plausible spiking neural networks
Nov 27, 2023
A critical survey of STDP in Spiking Neural Networks for Pattern Recognition
Nov 20, 2023
GPT-4
Nov 20, 2023
OpenAI’s CEO Says the Age of Giant AI Models Is Already Over
Nov 17, 2023
On stochastic learning in predictive wireless ARQ
Oct 25, 2023
Intelligence Emerging : Adaptivity and Search in Evolving Neural Systems
Oct 25, 2023
Gradient expectations: structure, origins, and synthesis of predictive neural networks
Oct 18, 2023
The Pattern of Responding in the Peak-Interval Procedure with Gaps: An Individual-Trials Analysis
Oct 16, 2023
Is the cell really a machine?
Oct 08, 2023
A Scalable Population Code for Time in the Striatum
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Oct 07, 2023
Statistical physics, Bayesian inference and neural information processing
Oct 03, 2023
Phase resetting and its implications for interval timing with intruders
Sep 29, 2023
The Storage of Time Intervals Using Oscillating Neurons
Sep 27, 2023
Neuropsychological mechanisms of interval timing behavior
Sep 11, 2023
Grid cells generate an analog error-correcting code for singularly precise neural computation
Sep 11, 2023
Grid cells generate an analog error-correcting code for singularly precise neural computation
Sep 11, 2023
The neural bases for timing of durations
Sep 11, 2023
It's about Time
Sep 11, 2023
The Theta-Gamma Neural Code
Sep 11, 2023
Robust and efficient coding with grid cells
Sep 09, 2023
Artificial intelligence: a modern approach
Sep 07, 2023
Oscillation/Coincidence-Detection Models of Reward-Related Timing in Corticostriatal Circuits

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