Article
Biology
Shivathmihai Nagappan, Kevin M. Franks
Summary: The study found that semilunar (SL) and superficial pyramidal (PYR) neurons play different roles in odor processing in the olfactory cortex, with SLs receiving and integrating olfactory bulb input, and PYRs transforming and transmitting this input.
Article
Multidisciplinary Sciences
Kara J. Emery, Vicki J. Volbrecht, David H. Peterzell, Michael A. Webster
Summary: The coordinate frames for color and motion are often defined by three dimensions, but the organizational principles for the representation of hue and motion direction are profoundly different.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2023)
Article
Biology
Sonja Bisch-Knaden, Michelle A. Rafter, Markus Knaden, Bill S. Hansson
Summary: The olfactory system of female hawkmoths can differentiate between conspicuous floral cues and subtle bouquets of larval host plants within a complex olfactory landscape. Their neural coding strategies enable them to locate crucial resources for feeding and oviposition, even when these resources are rare and intermingled with volatiles from surrounding background plants.
Article
Computer Science, Artificial Intelligence
Namratha Urs, Sahar Behpour, Angie Georgaras, Mark V. Albert
Summary: This study examines neural coding strategies in sensory processing, demonstrating the efficiency of ICA in modeling early visual and auditory neural processing. The results indicate that neural codes are better suited to natural inputs and outperform models based on common compression strategies.
ARTIFICIAL INTELLIGENCE REVIEW
(2022)
Article
Neurosciences
Juan M. Angueyra, Jacob Baudin, Gregory W. Schwartz, Fred Rieke
Summary: This study explores how macaque cone photoreceptors maintain sensitivity under fast saccadic eye movements. The research shows that adaptation causes nonlinearity in cone responses to naturalistic stimuli, depending on stimulus history. A biophysical model can accurately predict cone responses to various stimuli.
JOURNAL OF NEUROSCIENCE
(2022)
Article
Biology
Agnes Landemard, Celian Bimbard, Charlie Demene, Shihab Shamma, Sam Norman-Haignere, Yves Boubenec
Summary: The study found that there are significant differences in neural representations at late stages of auditory processing between humans and ferrets, potentially driven by higher-order processing demands in speech and music.
Article
Biology
Sudeshna Das Chakraborty, Hetan Chang, Bill S. Hansson, Silke Sachse, Sonia Sen
Summary: This study investigated the transformation and representation of odor information in higher-order neurons of the lateral horn in Drosophila melanogaster. The researchers found that these neurons exhibited reproducible, stereotypic, and odor-specific response patterns. Importantly, the response amplitude of these neurons was positively correlated with innate odor preferences, suggesting that their activity is valence-specific. The study also revealed that the excitatory input to glutamatergic lateral horn neurons primarily came from uniglomerular projection neurons, while odor-specific inhibition was mediated by inhibitory multiglomerular neurons.
Article
Robotics
Mingrui Li, Jiaming He, Yangyang Wang, Hongyu Wang
Summary: In this paper, we propose an end-to-end 3D reconstruction system that achieves fine scene reconstruction without prior information by utilizing a neural implicit encoding. Our approach, with improved decoders and a keyframe selection strategy, can compete with widely adopted NeRF-based SLAM methods in terms of 3D reconstruction accuracy.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2023)
Article
Multidisciplinary Sciences
Fabian A. Mikulasch, Lucas Rudelt, Viola Priesemann
Summary: This study introduces a new learning scheme based on voltage-dependent synaptic plasticity rules, which can learn efficient representations by locally balancing feedforward inputs. It overcomes the limitations of traditional Hebbian-like plasticity, particularly for complex high-dimensional inputs and inhibitory transmission delays. The results suggest the importance of dendritic excitatory-inhibitory balance and voltage-dependent synaptic plasticity in representation learning.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2021)
Article
Multidisciplinary Sciences
Gabrielle J. Gutierrez, Fred Rieke, Eric T. Shea-Brown
Summary: By comparing model circuits with different combinations of convergence, divergence, and nonlinear neurons, we can discover how interactions between these components affect coding efficiency. Our findings suggest that a convergent circuit with divergent parallel pathways can encode more information with nonlinear subunits than with linear subunits.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2021)
Article
Biology
Wesley W. Qian, Jennifer N. Wei, Benjamin Sanchez-Lengeling, Brian K. Lee, Yunan Luo, Marnix Vlot, Koen Dechering, Jian Peng, Richard C. Gerkin, Alexander B. Wiltschko, Upinder Singh Bhalla
Summary: By analyzing an accurate machine learning model for human odor perception, a computable representation for odor at the molecular level was discovered, which can predict the odor-evoked receptor, neural, and behavioral responses of almost all terrestrial organisms studied in olfactory neuroscience. This olfactory representation, known as the principal odor map (POM), shows that odorous compounds with similar POM representations are more likely to co-occur within a substance and be metabolically closely related. Despite large jumps in molecular structure, metabolic reaction sequences also follow smooth paths in POM. It suggests that the brain's representation of the olfactory world is shaped by the natural statistics of metabolism, similar to how the brain's visual representations have evolved around the natural statistics of light and shapes.
Review
Food Science & Technology
Claire M. Chigwedere, Janitha P. D. Wanasundara, Phyllis J. Shand
Summary: Establishment of a standard lexicon for describing the sensory quality of pulses and their derived ingredients is necessary to promote their utilization in the food industry.
COMPREHENSIVE REVIEWS IN FOOD SCIENCE AND FOOD SAFETY
(2022)
Article
Multidisciplinary Sciences
Mugihiko Kato, Toshiki Okumura, Yasuhiro Tsubo, Junya Honda, Masashi Sugiyama, Kazushige Touhara, Masako Okamoto
Summary: This study investigates the spatiotemporal dynamics of olfactory perception in the human brain. The findings suggest that different aspects of olfactory perception, such as unpleasantness, pleasantness and perceptual quality, emerge at different time points after odor onset. The initial coding of odor information occurs in the olfactory areas, while the realization of perception involves computations in widely distributed cortical regions. This research provides insights into the neural processes underlying olfactory perception.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Article
Biology
Aliya Mari Adefuin, Sander Lindeman, Janine Kristin Reinert, Izumi Fukunaga
Summary: This study investigates how the olfactory system processes binary mixtures of odours in different brain states. It was found that mixture summation is more linear in awake mice performing an odour detection task, despite smaller and more variable responses. Decoding analyses indicated that the data from these mice was well discriminable, but decoding accuracy did not strictly correlate with the linearity of summation.
Article
Mathematical & Computational Biology
Kamesh Krishnamurthy, Ann M. Hermundstad, Thierry Mora, Aleksandra M. Walczak, Vijay Balasubramanian
Summary: This article proposes how the architecture of olfactory circuits uses disorder, diffuse sensing, and redundancy in representation to process olfactory information. The binding of receptors to molecules in a diffuse and disordered manner compresses the odor space into a small receptor space, reducing the correlation in the low-dimensional receptor code through lateral interactions. Expansive disordered projections from the periphery to the central brain reconfigure the information into a high-dimensional representation, allowing downstream neurons to learn flexible associations and valences.
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE
(2022)
Editorial Material
Neurosciences
Jeffrey E. Markowitz, Sandeep Robert Datta
NEUROPSYCHOPHARMACOLOGY
(2020)
Article
Multidisciplinary Sciences
Stan L. Pashkovski, Giuliano Iurilli, David Brann, Daniel Chicharro, Kristen Drummey, Kevin Franks, Stefano Panzeri, Sandeep Robert Datta
Review
Neurosciences
Keiland W. Cooper, David H. Brann, Michael C. Farruggia, Surabhi Bhutani, Robert Pellegrino, Tatsuya Tsukahara, Caleb Weinreb, Paule V. Joseph, Eric D. Larson, Valentina Parma, Mark W. Albers, Linda A. Barlow, Sandeep Robert Datta, Antonella Di Pizio
Article
Multidisciplinary Sciences
David H. Brann, Tatsuya Tsukahara, Caleb Weinreb, Marcela Lipovsek, Koen Van den Berge, Boying Gong, Rebecca Chance, Iain C. Macaulay, Hsin-Jung Chou, Russell B. Fletcher, Diya Das, Kelly Street, Hector Roux de Bezieux, Yoon-Gi Choi, Davide Risso, Sandrine Dudoit, Elizabeth Purdom, Jonathan Mill, Ralph Abi Hachem, Hiroaki Matsunami, Darren W. Logan, Bradley J. Goldstein, Matthew S. Grubb, John Ngai, Sandeep Robert Datta
Article
Neurosciences
Alexander B. Wiltschko, Tatsuya Tsukahara, Ayman Zeine, Rockwell Anyoha, Winthrop F. Gillis, Jeffrey E. Markowitz, Ralph E. Peterson, Jesse Katon, Matthew J. Johnson, Sandeep Robert Datta
NATURE NEUROSCIENCE
(2020)
Article
Neurosciences
Emily Jane Dennis, Ahmed El Hady, Angie Michaiel, Ann Clemens, Dougal R. Gowan Tervo, Jakob Voigts, Sandeep Robert Datta
Summary: Animals exhibit a wide range of behaviors in complex environments, which have traditionally been studied by ecology and ethology, while systems neuroscience has focused on shorter timescale behaviors. Recent advances in technology now allow for the study of freely moving animals in more natural conditions, combining approaches from different fields to provide new insights into research.
JOURNAL OF NEUROSCIENCE
(2021)
Article
Multidisciplinary Sciences
Jingyi Chen, Jeffrey E. Markowitz, Varoth Lilascharoen, Sandra Taylor, Pete Sheurpukdi, Jason A. Keller, Jennifer R. Jensen, Byung Kook Lim, Sandeep Robert Datta, Lisa Stowers
Summary: The study identifies the role of mouse neurons from the lateral preoptic area in regulating vocal amplitude and bout durations, showcasing a two-step, di-synaptic neural circuit motif. Social context affects the range of vocal amplitudes and bout durations, with the LPOA disinhibition motif contributing to flexible loudness and bout duration.
Article
Biochemistry & Molecular Biology
Tatsuya Tsukahara, David H. Brann, Stan L. Pashkovski, Grigori Guitchounts, Thomas Bozza, Sandeep Robert Datta
Summary: The research found that each subtype of olfactory sensory neuron in mice has a unique transcriptome, which is precisely determined by interactions between its odorant receptor and the environment. This transcriptional variation is systematically organized to support sensory adaptation and accurately predict responses to odors. The findings suggest a general model where structured transcriptional variation within a cell type reflects individual experience.
Letter
Clinical Neurology
Loulwah Mukharesh, Marc A. Bouffard, Elizabeth Fortin, David H. Brann, Sandeep Robert Datta, Sashank Prasad, Bart K. Chwalisz
JOURNAL OF NEURO-OPHTHALMOLOGY
(2022)
Article
Anesthesiology
Zihe Zhang, David P. P. Roberson, Masakazu Kotoda, Bruno Boivin, James P. P. Bohnslav, Rafael Gonzalez-Cano, David A. A. Yarmolinsky, Bruna Lenfers Turnes, Nivanthika K. K. Wimalasena, Shay Q. Q. Neufeld, Lee B. B. Barrett, Nara L. M. Quintao, Victor Fattori, Daniel G. G. Taub, Alexander B. B. Wiltschko, Nick A. A. Andrews, Christopher D. D. Harvey, Sandeep Robert Datta, Clifford J. J. Woolf
Summary: The lack of sensitive and robust behavioral assessments of pain in preclinical models has been a major limitation for both pain research and the development of novel analgesics. Here, the authors demonstrate a novel data acquisition and analysis platform that provides automated, quantitative, and objective measures of naturalistic rodent behavior in an observer-independent and unbiased fashion. The technology records freely behaving mice, in the dark, over extended periods for continuous acquisition of 2 parallel video data streams: (1) near-infrared frustrated total internal reflection for detecting the degree, force, and timing of surface contact and (2) simultaneous ongoing video graphing of whole-body pose. Using machine vision and machine learning, they automatically extract and quantify behavioral features from these data to reveal moment-by-moment changes that capture the internal pain state of rodents in multiple pain models. They show that these voluntary pain-related behaviors are reversible by analgesics and that analgesia can be automatically and objectively differentiated from sedation. Finally, they used this approach to generate a paw luminance ratio measure that is sensitive in capturing dynamic mechanical hypersensitivity over a period and scalable for high-throughput preclinical analgesic efficacy assessment.
Article
Neurosciences
Korleki Akiti, Iku Tsutsui-Kimura, Yudi Xie, Alexander Mathis, Jeffrey E. Markowitz, Rockwell Anyoha, Sandeep Robert Datta, Mackenzie Weygandt Mathis, Naoshige Uchida, Mitsuko Watabe-Uchida
Summary: In this study, the behavior of mice freely interacting with a novel object was characterized using multi-point tracking and behavioral segmentation techniques. The results revealed that novelty elicits a characteristic sequence of behavior, and dopamine in the tail of the striatum suppresses object engagement. A reinforcement-learning model explained the behavioral dynamics and individual variability, uncovering an algorithmic similarity between reward- and threat-related dopamine sub-systems.
Article
Cell Biology
John B. Finlay, David H. Brann, Ralph Abi Hachem, David W. Jang, Allison D. Oliva, Tiffany Ko, Rupali Gupta, Sebastian A. Wellford, E. Ashley Mosema, Sophie S. Jang, Carol H. Yan, Hiroaki Matsunami, Tatsuya Tsukahara, Sandeep Robert Datta, Bradley J. Goldstein
Summary: SARS-CoV-2 causes profound changes in the sense of smell, including total smell loss. Although these alterations are often transient, many patients with COVID-19 exhibit olfactory dysfunction that lasts months to years. This study found that T cell-mediated inflammation persists in the olfactory epithelium long after the virus has been eliminated, suggesting a mechanism for long-term post-COVID-19 smell loss.
SCIENCE TRANSLATIONAL MEDICINE
(2022)
Article
Biochemistry & Molecular Biology
Dana Rubi Levy, Nigel Hunter, Sherry Lin, Emma Marie Robinson, Winthrop Gillis, Eli Benjamin Conlin, Rockwell Anyoha, Rebecca M. Shansky, Sandeep Robert Datta
Summary: Animal behavior is influenced by both internal state and individual biases. The hormonal variation during the estrous cycle regulates sociosexual behavior in female mice. However, it is uncertain whether estrous state affects spontaneous behavior and the relationship between these effects and individual behavioral variation.
Article
Neurosciences
Tilo Gschwind, Ayman Zeine, Ivan Raikov, Jeffrey E. Markowitz, Winthrop F. Gillis, Sylwia Felong, Lori L. Isom, Sandeep Robert Datta, Ivan Soltesz
Summary: Epilepsy is a major disorder with a lack of understanding of its impact on behavior. This study uses machine learning-assisted 3D video analysis to uncover hidden behavioral phenotypes in mice with epilepsy and track their changes during epileptogenesis and drug treatment. The results highlight the potential for automated drug testing based on behavioral fingerprints.
Review
Physiology
Tatsuya Tsukahara, David H. Brann, Sandeep Robert Datta
Summary: This article discusses the mechanisms of anosmia caused by COVID-19 infection. Although the virus primarily targets the nasal olfactory epithelium, neuronal infection in the olfactory system is rare. The article proposes that indirect mechanisms, such as tissue damage, inflammatory responses, and downregulation of odorant receptor genes, contribute to COVID-19-associated anosmia.
PHYSIOLOGICAL REVIEWS
(2023)
