9 papers · ranked by Valyu relevance
Ari S. Benjamin, Ling-Qi Zhang, Cheng Qiu, Alan Stocker + 1 more
Animal sensory systems are more sensitive to common features in the environment than uncommon features. For example, small deviations from the more frequently encountered horizontal orientations can be more easily detected than small deviations from the less frequent diagonal ones. Here we find that artificial neural…
David J. Ottenheimer, Madelyn M. Hjort, Anna J. Bowen, Nicholas A. Steinmetz + 1 more
The ability to associate reward-predicting stimuli with adaptive behavior is frequently attributed to the prefrontal cortex, but the stimulus-specificity, spatial distribution, and stability of neural cue-reward associations are unresolved. We trained headfixed mice on an olfactory Pavlovian conditioning task and…
Julio A. Peraza, Taylor Salo, Michael C. Riedel, Katherine L. Bottenhorn + 14 more
Macroscale gradients have emerged as a central principle for understanding functional brain organization. Previous studies have demonstrated that a principal gradient of connectivity in the human brain exists, with unimodal primary sensorimotor regions situated at one end, and transmodal regions associated with the…
Valeria C. Peviani, Hüseyin O. Elmas, W. Pieter Medendorp, Luke E. Miller
The brain localizes touch in space by integrating tactile and proprioceptive signals, a process known as tactile remapping. While it is often assumed that the remapped touch is encoded in an extrinsic, limb-independent reference frame, an alternative view proposes that touch may instead be represented within an…
Tomoya Nakamura, Seng Bum Michael Yoo, Kendrick Kay, Hakwan Lau + 1 more
This study compared the representational geometry of visual perception and visual working memory using human 7T fMRI. Observers viewed a face-scene blended sample, attended to either the face or scene, and judged whether the attended aspect matched a subsequent test image. We found that the stimulus coding dimension…
Davide Noè, Hideaki Yamamoto, Yuichi Katori, Shigeo Sato
The predictive coding framework offers a compelling model for temporal signal processing in the cortex. Recent studies explored its implementation in spiking architectures using Hebbian plasticity rules or offline learning; however, a biologically inspired model that enables gradient-based minimization of prediction…
Kyle Bojanek, Olivier Marre, Stephanie E. Palmer
Populations of sensory neurons are thought to be shaped by selective pressures for optimal information transmission, yet real neural circuits display substantial variability across stimulus repeats, across time, and between individuals. Reconciling this variability with normative theories requires understanding not…
Andrei Ciuparu, Raul C. Mureșan
We introduce Gradient-k, an upgrade of the k-means algorithm that improves clustering accuracy and reduces the number of iterations required for convergence. This is achieved by correcting the distance used in the k-means algorithm by a factor based on the angle between the density gradient and the direction to the…
Thach V. Bui
Neural coding is an important tool to discover the inner workings of mind. In this work, we propose and consider a simple but novel self-decoding model for neural coding based on the principle that the neuron body represents ongoing stimulus while dendrites are used to store that stimulus as a memory. In particular…