1809 papers
This paper proposes a unified "Bayesian efficient coding" framework that generalizes the traditional efficient coding hypothesis by incorporating arbitrary loss functionals to define optimal neural codes, demonstrating through the introduction of "covtropy" and a reanalysis of blowfly data that minimizing reconstruction error can better explain sensory system design than maximizing mutual information.
This study establishes murine and zebrafish *Wac* deletion mutants as complementary vertebrate models that recapitulate key craniofacial, neurobehavioral, and molecular features of DeSanto-Shinawi Syndrome, thereby providing a foundation for understanding the disorder's underlying biological mechanisms.
This study demonstrates that human observers estimate the location of a collection of points by first identifying visual clusters within the sample, a strategy that allows them to approximate optimal statistical estimators across different probability distributions.
This study identifies distinct but interacting neurocomputational mechanisms in the human brain that support multisensory learning by dissociating structure-based statistical learning, reward-based reinforcement learning, and outcome-surprise processing into complementary, modality-general neural networks.
This paper introduces Live Spike Sorting (LSS), a robust system built on the Kilosort platform that enables real-time, high-fidelity sorting of single-neuron spikes from large-scale recordings, demonstrating performance comparable to offline methods and superior to traditional threshold-based approaches for applications like brain-computer interfaces.
This study demonstrates that while a zero-shot DeepMReye model has limited accuracy for individual-level gaze prediction from fMRI data, group-averaged estimates effectively capture shared viewing behaviors and successfully reveal brain activation patterns associated with oculomotor control during naturalistic movie viewing.
By training macaque monkeys on multiple tasks and recording prefrontal cortex activity, researchers discovered that flexible multitasking is supported by a three-level hierarchical neural geometry where location codes are nested within subtask spaces that share a generalized ring-like structure, enabling robust generalization across both spatial locations and cognitive demands.
This study challenges the notion of a broadly generalizable involuntary pause process by demonstrating that EMG suppression and behavioral slowing in response to salient stimuli are context-specific, requiring infrequency and temporal delay, while also revealing that synchronous flanker stimuli can accelerate action cancellation.
This study demonstrates through electrophysiological recordings that honeybees integrate olfactory and mechanosensory inputs as early as the antennal lobe, challenging the assumption that such cross-modality processing occurs only in higher brain centers.
This study demonstrates that a synthetic MRI-derived contrast (FD), which is sensitive to myelin and lipid disruption, effectively detects early microstructural vulnerabilities in olfactory and limbic networks associated with odor identification impairment in mild cognitive impairment, offering complementary insights to traditional myelin volume fraction measures.
This study introduces a novel persistence-escape paradigm and a Meta-Arbitration of Control and Agency Q-learning (MACA-Q) model to demonstrate that avoidance is a context-dependent, dynamically regulated response to inferred controllability rather than a stable trait, revealing distinct computational pathways for adaptive and maladaptive engagement in anxiety and depression.
This paper introduces "SENSI-EEG-Preproc-ICA-EKG-Trigger," a semi-automated MATLAB module that accelerates and standardizes the identification of EKG and trigger artifacts in EEG data by leveraging spectral characteristics to prioritize candidate components for efficient, user-verified manual review.
Using data from the ABCD Study, this multistage analysis reveals that while externalizing polygenic liability robustly predicts earlier adolescent substance initiation through both direct genetic pathways and specific brain imaging phenotypes, the neurobiological mediation by baseline brain measures accounts for less than 2% of the total effect, indicating that direct genetic influences are the dominant mechanism.
This study demonstrates that the non-classic psychedelic muscimol, acting through GABAA receptors, suppresses inflammatory signaling and restores neuroplasticity in schizophrenia-derived human cortical spheroids and astrocytes, identifying astrocyte-mediated neuroimmune dysfunction as a key therapeutic target.
This study reveals that the subjective visual experience of working memory relies on a specific cortical hierarchy from the intraparietal sulcus to early visual cortex, where aphantasia arises not from a single region's failure but from a breakdown in feedback signals along this pathway that prevents the transition from visual to mnemonic codes.
This study utilizes longitudinal calcium imaging in the mouse visual cortex to reveal that while population-level novelty responses remain stable, distinct cell types play specialized roles in processing, with SST neurons providing consistent single-cell stability, EXC neurons encoding both specific and non-specific novelty, and VIP neurons uniquely adapting their coding strategies based on the type of novelty encountered.
Using a model-based fMRI approach, this study demonstrates that frontoparietal connector hubs dynamically reconfigure inter-regional communication by utilizing integrated representations of sensory evidence and internal state to generate distinct computational signals—such as entropy, task belief, and prediction error—that selectively modulate connectivity during different stages of a decision-making task.
This study utilizes experience sampling and brain imaging to demonstrate that the stability of human thought is context-dependent rather than intrinsic to specific tasks, revealing that coordinated activity within the multiple-demand network supports stable, goal-focused cognition when deliberate attention is high and distraction is low.
This study utilizes RNAscope fluorescent in situ hybridization to map the rostrocaudal distribution and neurochemical diversity of RXFP3-expressing neurons in the mouse lateral hypothalamus and zona incerta, revealing their co-expression with markers for GABAergic, glutamatergic, and dopaminergic populations involved in stress, arousal, and defensive behaviors.
This study reveals that natural variation in oxytocin receptor (OXTR) levels tunes social behaviors by regulating the transcription of natural killer gene complex (NKC) genes, which modulates microglia-neuron interactions and alters dendritic spine density in the striatum.