23 papers · ranked by Valyu relevance
Kenny Yu, Wolf Vanpaemel, Francis Tuerlinckx, Jonas Zaman
Title: Summary Generalization theories traditionally overlook how our mental representations dynamically change in the process of transferring learned knowledge to new contexts. We integrated perceptual and generalization theories into a computational model using data from 80 participants who underwent Pavlovian fear…
Robert W. Mill, Tamás M. Bőhm, Alexandra Bendixen, István Winkler + 2 more
'Susan L. Denham' 'Olaf Sporns'] Many sound sources can only be recognised from the pattern of sounds they emit, and not from the individual sound events that make up their emission sequences. Auditory scene analysis addresses the difficult task of interpreting the sound world in terms of an unknown number of discrete…
Itai Gat, Idan Schwartz, Alexander G. Schwing
Machine learning advances in the last decade have relied significantly on largescale datasets that continue to grow in size. Increasingly, those datasets also contain different data modalities. However, large multi-modal datasets are hard to annotate, and annotations may contain biases that we are often unaware of.…
Link R. Swanson
Predictive processing (PP) is a paradigm in computational and cognitive neuroscience that has recently attracted significant attention across domains, including psychology, robotics, artificial intelligence and philosophy. It is often regarded as a fresh and possibly revolutionary paradigm shift, yet a handful of…
Yuko Yotsumoto, Takeo Watanabe
Takeo Watanabe and Yuko Yotsumoto explore the implications of a new study that shows that for perceptual learning of visual features involving multiple stimuli to occur, the brain needs to temporally "tag" the features, a learning process that requires paying attention.
Gabor Stefanics, Klaas Enno Stephan, Jakob Heinzle
Predictive coding (PC) theory posits that our brain employs a predictive model of the environment to infer the causes of its sensory inputs. A fundamental but untested prediction of this theory is that the same stimulus should elicit distinct precision weighted prediction errors (pwPEs) when different…
Leonid Perlovsky, Roman Ilin
Conscious and unconscious brain mechanisms, including cognition, emotions and language are considered in this review. The fundamental mechanisms of cognition include interactions between bottom-up and top-down signals. The modeling of these interactions since the 1960s is briefly reviewed, analyzing the ubiquitous…
Buse M. Urgen, Huseyin Boyaci
Expectations and prior knowledge strongly affect and even shape our visual perception. Specifically, valid expectations speed up perceptual decisions, and determine what we see in a noisy stimulus. Bayesian models have been remarkably successful to capture the behavioral effects of expectation. On the other hand…
Benjamin Peters, Nikolaus Kriegeskorte
Human visual perception carves a scene at its physical joints, decomposing the world into objects, which are selectively attended, tracked, and predicted as we engage our surroundings. Object representations emancipate perception from the sensory input, enabling us to keep in mind that which is out of sight and to use…
Bing Wei, Yudi Zhao, Kuangrong Hao, Lei Gao
—Visual sensation and perception refers to the process of sensing, organizing, identifying, and interpreting visual information in environmental awareness and understanding. Computational models inspired by visual perception have the characteristics of complexity and diversity, as they come from many subjects such as…
Palaash Agrawal, Cheston Tan, Heena Rathore
—Although artificial intelligence (AI) has achieved many feats at a rapid pace, there still exist open problems and fundamental shortcomings related to performance and resource efficiency. Since AI researchers benchmark a significant proportion of performance standards through human intelligence, cognitive…
Maryam Beigzadeh, Seyyed Mohammad R. Hashemi Golpayegani, Shahriar Gharibzadeh
'Shahriar Gharibzadeh'] “Cellular automata (CA) are mathematical models for systems in which many simple components act together to produce complicated patterns of behavior” (Packard and Wolfram, [10]). Applying the CA theoretical framework in the field of neuroscience has shown successful results in the interpretation…
Seoyoung Ahn, Hossein Adeli, Gregory J. Zelinsky
Humans are extremely robust in our ability to perceive and recognize objects—we see faces in tea stains and can recognize friends on dark streets. Yet, neurocomputational models of primate object recognition have focused on the initial feed-forward pass of processing through the ventral stream and less on the top-down…
Authors not listed
This paper formally defines an operational isomorphism between spectral damping in molecular vibronic systems and neuromodulatory control in biological sensory systems. Without asserting causal continuity or physical identity across scales, we show that both domains instantiate the same class of output-selective…
Tyler Bonnen, Daniel L.K. Yamins, Anthony D. Wagner
The medial temporal lobe (MTL) supports a constellation of memory-related behaviors. Its involvement in perceptual processing, however, has been subject to an enduring debate. This debate centers on perirhinal cortex (PRC), an MTL structure at the apex of the ventral visual stream (VVS). Here we leverage a deep…
Yuan Chang Leong, Brent L. Hughes, Yiyu Wang, Jamil Zaki
People tend to believe their perceptions are veridical representations of the world, but also commonly report perceiving what they want to see or hear, a phenomenon known as motivated perception. It remains unclear whether this phenomenon reflects an actual change in what people perceive or merely a bias in their…
Kohitij Kar, James J. DiCarlo
Visual object recognition — the behavioral ability to rapidly and accurately categorize many visually encountered objects – is core to primate cognition. This behavioral capability is algorithmically impressive because of the myriad identity-preserving viewpoints and scenes that dramatically change the visual image…
Shuxiao Ma, Linyuan Wang, Senbao Hou, Bin Yan
Recently, there has been a surge in the popularity of pretrained large language models (LLMs) (such as GPT-4), sweeping across the entire Natural Language Processing (NLP) and Computer Vision (CV) communities. These LLMs have demonstrated advanced multi-modal understanding capabilities and showcased strong performance…
Authors not listed
Machine olfaction—the artificial replication of the sense of smell—faces significant challenges due to the absence of large, standardized training datasets. Unlike vision, language, and audio models, which benefit from extensive corpora such as ImageNet, GLUE, and AudioSet, olfaction lacks scaled equivalents and…
Tommaso Bertoni, Ishan-Singh J. Chauhan, Jean-Paul Noel, Andrea Serino
'Andrea Serino'] Peripersonal space (PPS) is the region of space near the body, the multisensory interface where interactions with the environment predominantly occur. This space is represented by a specialized neural system that integrates tactile and external stimuli as a function of their distance from the body.…
Authors not listed
Olfaction arises from the interaction of odorants with olfactory receptors, a process shaped by molecular geometry, electron distribution, and conformational preference. We present ConfDENSE, a Set2Set enhanced PointNet model that learns directly from Hirshfeld promolecule electron-density point clouds, preserving full…
Authors not listed
This research presents a novel approach to obstacle detection during navigation using a combination of Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) networks. The primary objective is to generate accurate image captions that describe the content of images, which is crucial for applications such…
Heung-Yeol Lim, Inah Lee
The perirhinal cortex (PER) supports multimodal object recognition, but how multimodal information of objects is integrated within the PER remains unknown. Here, we recorded single units within the PER while rats performed a PER-dependent multimodal object-recognition task. In this task, audiovisual cues were…