16 papers · ranked by Valyu relevance
Franklin Leong, Babak Rahmani, Demetri Psaltis, Christophe Moser + 1 more
A fundamental challenge in neuroengineering is determining a proper input to a sensory system that yields the desired functional output. In neuroprosthetics, this process is known as sensory encoding, and it holds a crucial role in prosthetic devices restoring sensory perception in individuals with disabilities. For…
Ye Chen, Peter Beech, Ziwei Yin, Shanshan Jia + 3 more
Understanding the computational mechanisms that underlie the encoding and decoding of environmental stimuli is a paramount investigation within the domain of neuroscience. Central to this pursuit is the exploration of how the brain represents visual information across its hierarchical architecture. A prominent…
Tijl Grootswagers, Amanda K. Robinson, Sophia M. Shatek, Thomas A Carlson
The basic computations performed in the human early visual cortex are the foundation for visual perception. While we know a lot about these computations from work in non-human animals, a key missing piece is how the coding of visual features relates to our perceptual experience. To investigate visual feature coding…
Luciano Dyballa, Greg D. Field, Michael P. Stryker, Steven W. Zucker
We have created “encoding manifolds” to reveal the overall responses of a brain area to a variety of stimuli. Encoding manifolds organize response properties globally: each point on an encoding manifold is a neuron, and nearby neurons respond similarly to the stimulus ensemble in time. We previously found, using a…
Thirza Dado, Paolo Papale, Antonio Lozano, Lynn Le + 5 more
A challenging goal of neural coding is to characterize the neural representations underlying visual perception. To this end, multi-unit activity (MUA) of macaque visual cortex was recorded in a passive fixation task upon presentation of faces and natural images. We analyzed the relationship between MUA and latent…
Luciano Dyballa, Andra M. Rudzite, Mahmood S. Hoseini, Mishek Thapa + 3 more
The retina and primary visual cortex (V1) both exhibit diverse neural populations sensitive to diverse visual features. Yet it remains unclear how neural populations in each area partition stimulus space to span these features. One possibility is that neural populations are organized into discrete groups of neurons…
Shuang Tian, Xiaomin Mao, Dahui Wang, Xiaoying Wang + 1 more
Perception and mental imagery are widely thought to rely on overlapping neural representations, giving rise to perception-like visual experiences during imagery generation. However, such overlap, by itself, is agnostic to the nature of the underlying neural geometry for both perception and imagery. Here we addressed…
Andreea Lazar, Liane Klein, Johanna Klon-Lipok, Mihály Bányai + 2 more
Natural scene responses in the primary visual cortex are modulated simultaneously by attention and by contextual signals about scene statistics stored across the connectivity of the visual processing hierarchy. We hypothesize that attentional and contextual top-down signals interact in V1, in a manner that primarily…
Simon Weber, Thomas Christophel, Kai Görgen, Joram Soch + 1 more
It has been suggested that visual images are memorized across brief periods of time by vividly imagining them as if they still were there. Such visual imagery has been proposed as a key mechanism underlying working memory. However, the ability to evoke visual imagery varies substantially across individuals, raising the…
Ziyi Duan, Clayton E. Curtis
Pioneering studies demonstrating that the contents of visual working memory (WM) can be decoded from the patterns of multivoxel activity in early visual cortex transformed not only how we study WM, but theories of how memories are stored. For instance, the ability to decode the orientation of memorized gratings is…
Claire Vanbuckhave, Giorgio Ganis
Previous studies suggest that visual mental imagery (VMI) acts as a weaker form of top-down visual perception (VP), with the two becoming more similar as VMI vividness increases. However, this relationship remains ill-defined, and it is unclear precisely how much weaker VMI is relative to VP. Here, we introduce an…
Paolo Papale, Daniela De Luca, Pieter R. Roelfsema
Finding the tuning of visual neurons has kept neuroscientists busy for decades. One approach to this problem has been to test specific hypotheses on the relevance of a visual property (e.g. orientation or color), build a set of “artificial” stimuli that vary along that property and then record neural responses to those…
Alie G. Male, Robert P. O’Shea
Prediction error is a basic component of predictive-coding theory of brain processing. According to the theory, each stage of brain processing of sensory information generates a model of the current sensory input; subsequent input is compared against the model and only if there is a mismatch, a prediction error, is…
Arash Akbarinia
Our perception of the world is inherently colourful, and colour provides well-documented benefits for vision: it helps us see things quicker and remember them better. We hypothesised that colour is not only central to perception but also a rich and decodable source of information in electroencephalography (EEG) signal…
Elia Shahbazi, Timothy Ma, Martin Pernuš, Walter Scheirer + 1 more
Neurons in the inferotemporal (IT) cortex respond selectively to complex visual features, implying their role in object perception. However, perception is subjective and cannot be read out from neural responses; thus, bridging the causal gap between neural activity and perception demands independent characterization of…
Jovan T. Kemp, Evan Cesanek, Fulvio Domini
The fundamental question of how the brain derives 3D information from the inherently ambiguous visual input has been approached during the last two decades with probabilistic theories of 3D perception. Probabilistic models, such as the Maximum Likelihood Estimation (MLE) model, derive from multiple independent depth…