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Research, evidence gathering, literature, reports, investigation, and synthesis
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- Complex Berry Phase Quantum ControlComplex Berry phase measurement and control methodology for non-Hermitian quantum systems. Experimental measurement of real and imaginary Berry phase components using superconducting transmon circuits with engineered dissipation. Path-dependent effects enable non-unitary quantum control protocols.Votes: 0GitHub stars: 3
- Competition Stability Ei CircuitsGame-theoretic energetic framework for excitatory-inhibitory neural circuits - competition, stability, and functionality in asymmetric networksVotes: 0GitHub stars: 3
- Common Synaptic Input Estimation HdemgPractical methodology for estimating common synaptic input to spinal motor neurons from high-density surface EMG motor unit spike trains using openhdemg. Three complementary approaches: time-domain, frequency-domain, and network-information methods.Votes: 0GitHub stars: 3
- Cognisnn Random Graph SnnCogniSNN: Cognition-aware Spiking Neural Network with Random Graph Architecture enabling neuron-expandability, pathway-reusability, and dynamic-configurability. Uses Key Pathway-based Learning (KP-LwF) for multi-task transfer and Dynamic Growth Learning (DGL) algorithm for temporal dimension growth. Achieves SOTA on neuromorphic datasets. Keywords: SNN architecture, random graph, pathway reusability, dynamic growth, neuromorphic hardware, continual learning, brain-inspired AI.Votes: 0GitHub stars: 3
- Coflow Scheduling OcsCoflow Scheduling in Multi-Core Optical Circuit Switching Networks with Performance GuaranteesVotes: 0GitHub stars: 3
- Coding Agents Social Sciences ResearchMethodology from Anthropic economic research (May 27, 2026) on using AI coding agents to accelerate social science research workflows — experimental design, data analysis, literature review, and reproducibility.Votes: 0GitHub stars: 3
- Coarse Feedback Human Aligned VisualShows that extremely coarse feedback signals (distinguishing as few as 8 broad categories) produce neural representations matching or exceeding 1000-class supervised models in brain alignment with primate vision. Trains hundreds of CNNs and ViTs across granularity levels, comparing against macaque electrophysiology and human fMRI. Use when analyzing brain-aligned vision models, role of supervision granularity in neural alignment, or human perceptual similarity learning.Votes: 0GitHub stars: 3
- Cmut Transcranial Ultrasound BbbCapacitive Micromachined Ultrasonic Transducer (CMUT)-based transcranial focused ultrasound system for blood-brain barrier opening and drug delivery. Includes phase-inversion transmission, microbubble monitoring, and closed-loop control. Activation: CMUT ultrasound, blood-brain barrier, BBB opening, transcranial focused ultrasound, drug delivery to brain.Votes: 0GitHub stars: 3
- Closed Loop Quantum Probabilities UnitarityClosed-loop decomposition of quantum probabilities as direct consequence of unitarity, identifying Bargmann invariants as phase-invariant loop quantities and Born rule as quadratic forward-reverse amplitude product. arXiv:2606.02504Votes: 0GitHub stars: 3
- Closed Form Predictive Coding HgfClosed-form predictive coding via hierarchical Gaussian filters (HGF) methodology from arXiv:2605.20293. Restores precision-weighted prediction errors to predictive coding networks by expressing them as deep hierarchical Gaussian filters. Enables biologically plausible, local learning without backpropagation, with dynamic uncertainty estimates and Hebbian-compatible update rules. Activation: predictive coding, hierarchical Gaussian filter, free energy principle, precision-weighted prediction ...Votes: 0GitHub stars: 3
- Clear Mind Meditation Functional SnrProposes that diverse findings in meditation science can be mapped onto a single, empirically tractable construct: **functional signal-to-noise ratio in the brain (f-SNR)**.Votes: 0GitHub stars: 3
- Classical Shadow Unitary Channel EstimationClassical Shadow Estimation of Unitary Channels (CSEU) methodology for efficient quantum process learning with Heisenberg-limited query complexity.Votes: 0GitHub stars: 3
- Citizen Science Video Games CognitionCitizen science and video games framework for cognitive science research. Transforms players into research participants through gamified experiments, enabling large-scale data collection for understanding human cognition. Activation: citizen science, video games cognition, gamified research, cognitive science games, participatory research.Votes: 0GitHub stars: 3
- Circulate Firing Snn TrainingCirculate-Firing Spiking Neural Network Training methodology - advancing direct training with CFSN model, TSL-SG learnable gradients, and PNB-Loss. Addresses SNN training bottlenecks: limited information capacity and imprecise gradient propagation. Activation: circulate-firing, CFSN, learnable surrogate gradient, TSL-SG, direct training SNN, PNB-Loss, SNN training, spiking neuron model.Votes: 0GitHub stars: 3
- Chronic Stress Ei Balance RnnComputational modeling methodology for chronic stress as excitatory-inhibitory (E/I) balance perturbation in recurrent working-memory networks. Use when modeling stress effects on prefrontal cortex, studying resilience mechanisms, or analyzing E/I balance disruptions in neuropsychiatric conditions.Votes: 0GitHub stars: 3
- Chloride Seizure DynamicsConductance-based neuronal network model for chloride-dependent seizure dynamics. Models how activity-dependent chloride dynamics drive seizure evolution and stage transitions. Activation: computational-neuroscience, seizure, chloride, conductance-based, epilepsy, neuroscience, brain, neuralVotes: 0GitHub stars: 3
- Chimera Magnetic Field NeuronalMethodology for studying magnetic field effects on chimera states in Hindmarsh-Rose neuronal networks. Covers traveling chimera, multicluster chimera, and multicluster chimera breather transformations under spatial magnetic field applications.Votes: 0GitHub stars: 3
- Cheesebench Rodent NeuroscienceCheeseBench benchmark for evaluating LLMs on classical rodent behavioral neuroscience paradigms. Includes 9 tasks covering water maze, T-maze, Morris water maze, and other established behavioral tests. Cross-paradigm evaluation for neuroscience AI systems.Votes: 0GitHub stars: 3
- Characterize Then Distill Mechanistic ReasoningMechanistic reasoning framework for distillation in large output spaces - two-phase process of shortlisting candidates followed by fine-grained reasoning, consistently outperforming standard distillation.Votes: 0GitHub stars: 3
- Cfpo Counterfactual Multimodal ReasoningCounterfactual Policy Optimization for enforcing causal consistency between visual perception and textual reasoning in LVLMs. Cross-modal counterfactual enhancement regularizes policy via discrepancy maximization.Votes: 0GitHub stars: 3
- Ccep Causal Brain Network颅内脑电图因果脑网络研究方法论。使用 CCEP（皮质-皮质诱发电位） 直接表征脑区间功能连接和方向性。 触发词：因果脑网络、iEEG、CCEP、皮质诱发电位、方向性连接、 causal brain network, intracranial EEG, cortico-cortical evoked potential。Votes: 0GitHub stars: 3
- Causal State Intervention Human ControllabilityCausal state intervention framework for controlling human behavioral outcomes through targeted latent state manipulation. Demonstrates that within-person variability belongs to dynamic latent state, and human outcomes are controllable through interventions targeting state and its weighting at decision moments. Use when studying: (1) Human behavioral controllability via state intervention, (2) Within-person variability as dynamic latent state, (3) Causal manipulation of decision-state interact...Votes: 0GitHub stars: 3
- Bullet Trains Parallel Snn Training并行训练时间精确脉冲神经网络的方法论。使用并行关联扫描实现44倍加速，机器精度脉冲时间求解器避免时间离散化近似，支持端到端事件驱动SNN训练。Activation: spiking neural network, snn training, parallel scan, spike timing, event-based, neuromorphic, 并行训练, 脉冲时间.Votes: 0GitHub stars: 3
- Branched Optimal Transport Brain MappingBranched optimal transport framework for inferring stimulus-to-reaction propagation architectures in brain networks. Uses anisotropic branched OT where concavity of flux cost promotes aggregation and branching. Activation: branched optimal transport, stimulus reaction brain mapping, ramified transport brain, brain propagation architecture, optimal transport neuroscience.Votes: 0GitHub stars: 3