Article
Psychology, Mathematical
Lei Jia, Mengru Cheng, Jiahao Lu, Youping Wu, Jun Wang
Summary: Humans have the ability to extract summary statistics from facial expressions, but the context-dependency of memory itself may influence the perceptual averaging process.
PSYCHONOMIC BULLETIN & REVIEW
(2023)
Article
Pharmacology & Pharmacy
Laura E. McKillop, Simon P. Fisher, Linus Milinski, Lukas B. Krone, Vladyslav V. Vyazovskiy
Summary: This study found that the amplitude of individual LFP slow waves was significantly reduced after the administration of benzodiazepines such as diazepam, along with a lower incidence and duration of corresponding neuronal OFF periods, possibly due to a disruption in the synchronisation of cortical neurons. The data suggest that the brain state induced by benzodiazepines differs qualitatively from spontaneous physiological sleep, indicating a dissociation between global sleep state and local cortical synchrony.
BIOCHEMICAL PHARMACOLOGY
(2021)
Editorial Material
Biochemistry & Molecular Biology
Mark A. Orloff, Erie D. Boorman
Summary: Humans can construct cognitive maps based on visually sampled information, as well as utilize olfactory cues for forming and using cognitive maps.
Article
Biology
S. T. Ferguson, I. Bakis, N. D. Edwards, L. J. Zwiebel
Summary: The study reveals that there are significant differences in olfactory sensitivity and odor coding between minor and major workers in Camponotus floridanus ant colonies. Minors primarily display excitatory responses to olfactory stimuli, while majors manifest suppressed responses. However, both minors and majors show excitatory responses to conspecific cuticular extracts. Moreover, majors exhibit enhanced aggression and killing abilities towards non-nestmate foes. The findings support the hypothesis that minors are multipotential workers and majors are specialized soldiers with specific olfactory sensitivity.
Article
Psychology
Yang Wang, Timothy F. F. Lew, Timothy F. F. Brady, Edward Vul
Summary: Working memory is a reconstructive process that integrates hierarchical representations of objects, which helps overcome perceptual uncertainty and limited cognitive capacity but leads to biases influenced by scene statistics or particular groups. This study aims to understand the structures used to encode visual scenes, using a data-driven approach. Experiment 1 reveals that people report items in a more compact and clustered structure in their visuospatial memory. Experiment 2 shows that spatial structures are contingent on color groups, revealing compression of color groups into collinear structures with similar orientations and equidistant spacing.
JOURNAL OF EXPERIMENTAL PSYCHOLOGY-HUMAN PERCEPTION AND PERFORMANCE
(2023)
Article
Psychology, Experimental
Luisa Bogenschuetz, Christina Bermeitinger, Anna Broerken, Helge Schlueter, Ryan P. M. Hacklaender
Summary: Studies have shown that olfactory-evoked autobiographical memories are not more emotional or older than memories mainly associated with other modalities, calling into question the notion that odor-associated memories are more emotional. The difference in results between this study and previous studies lies in the different situation at autobiographical memory retrieval, suggesting evidence towards retrieval-based explanations.
Article
Physics, Multidisciplinary
Qi Zhang, Diego Garlaschelli
Summary: The asymptotic equivalence of canonical and microcanonical ensembles is a central concept in statistical physics, but it can break down under certain circumstances. Recent research has shown that the presence of extensive local constraints can lead to ensemble nonequivalence (EN) even in the absence of phase transitions. This novel form of nonequivalence can be both strong and unrestricted, and has widespread applications in various fields.
NEW JOURNAL OF PHYSICS
(2022)
Article
Clinical Neurology
Johannes L. Busch, Jonathan Kaplan, Bahne H. Bahners, Jan Roediger, Katharina Faust, Gerd-Helge Schneider, Esther Florin, Alfons Schnitzler, Patricia Krause, Andrea A. Kuehn
Summary: Stimulation-induced beta power suppression is superior to directional beta power in selecting the most effective contact for programming deep brain stimulation systems in patients with Parkinson's disease.
MOVEMENT DISORDERS
(2023)
Article
Neurosciences
Jianzhi Zeng, Xuelin Li, Renzimo Zhang, Mingyue Lv, Yipan Wang, Ke Tan, Xiju Xia, Jinxia Wan, Miao Jing, Xiuning Zhang, Yu Li, Yang Yang, Liang Wang, Jun Chu, Yan Li, Yulong Li
Summary: This study found that dopamine bi-directionally regulates the temporal window of olfactory learning in Drosophila and affects the synaptic plasticity of Kenyon cells in the mushroom body. The release of acetylcholine by KCs activates the serotonergic DPM neuron, which provides inhibitory feedback to KCs. The study also discovered that 5-HT signals have spatial heterogeneity in the mushroom body and can proportionally gate the coincidence time windows of different compartments.
Article
Neurosciences
Kyeong-Jin Tark, Min-Suk Kang, Sang Chul Chong, Won Mok Shim
Summary: The study found that the human visual system is able to extract summary statistics from sets of similar items, but the underlying neural mechanism is still poorly understood. The neural representation of ensemble coding is gradually increased in response to the mean orientation of multiple stimuli, especially when the orientations are task-relevant, and can co-exist with task-relevant individual feature representation. It is suggested that the neural representation of ensemble percept is formed by pooling signals at multiple levels of the visual processing stream.
Article
Agriculture, Dairy & Animal Science
Paul Waggoner, Lucia Lazarowski, Bethany Hutchings, Craig Angle, Fay Porritt
Summary: This study examined dogs' ability to learn a large number of odor discriminations and the effects of learning new odors on the recall of previously trained odors. The results showed that dogs rapidly learned new odor discriminations across 40 odors, with no decrease in recall of previously trained odors or generalization to related odors.
APPLIED ANIMAL BEHAVIOUR SCIENCE
(2022)
Article
Pharmacology & Pharmacy
Linlin Han, Shuai Zhao, Feng Xu, Yafeng Wang, Ruihui Zhou, Shiqian Huang, Yuanyuan Ding, Daling Deng, Weike Mao, Xiangdong Chen
Summary: Sevoflurane can induce memory impairment by increasing hippocampal theta oscillations via TASK-3 channels. Task-3 channel knockdown alleviates sevoflurane-induced memory impairment by reducing the enhancing effect on hippocampal theta rhythms.
FRONTIERS IN PHARMACOLOGY
(2021)
Article
Computer Science, Artificial Intelligence
Yongquan Yang, Haijun Lv, Ning Chen, Yang Wu, Jiayi Zheng, Zhongxi Zheng
Summary: Ensembles of deep CNNs play a crucial role in ensemble learning for artificial intelligence applications, but the increasing complexity of deep CNN architectures and large data dimensionality have made their usage costly. A new approach is proposed to find multiple models converging to local minima in the subparameter space of deep CNNs, which can improve generalization while being more affordable during training and testing stages.
PATTERN RECOGNITION
(2021)
Article
Clinical Neurology
M. J. Stam, B. C. M. van Wijk, P. Sharma, M. Beudel, D. A. Pina-Fuentes, R. M. A. de Bie, P. R. Schuurman, W. -j. Neumann, A. W. G. Buijink
Summary: ECG artifacts often interfere with the detection of disease-specific electrical brain activity in deep brain stimulation (DBS) recordings of local field potentials (LFPs). Three ECG suppression methods, QRS interpolation, template subtraction, and singular value decomposition (SVD), were evaluated in this study. LFPs were recorded in Parkinson's disease patients with the Medtronic PerceptTM PC system. The results showed that all ECG suppression methods reduced artifact-induced beta band power and recovered beta dynamics to some extent. The SVD method had the best trade-off between artifact cleaning and signal loss when its parameters were properly chosen.
CLINICAL NEUROPHYSIOLOGY
(2023)
Article
Chemistry, Physical
Michael R. DeLyser, W. G. Noid
Summary: Investigated a new class of one-body potentials called square gradient (SG) potentials that can improve the accuracy and transferability of coarse-grained (CG) models. These SG potentials can tune interfacial properties and enhance the performance of various models.
JOURNAL OF CHEMICAL PHYSICS
(2022)
Article
Neurosciences
Jeyathevy Sukiban, Nicole Voges, Till A. Dembek, Robin Pauli, Veerle Visser-Vandewalle, Michael Denker, Immo Weber, Lars Timmermann, Sonja Gruen
Article
Mathematical & Computational Biology
Julia Sprenger, Lyuba Zehl, Jana Pick, Michael Sonntag, Jan Grewe, Thomas Wachtler, Sonja Gruen, Michael Denker
FRONTIERS IN NEUROINFORMATICS
(2019)
Article
Biology
Alessandra Stella, Pietro Quaglio, Emiliano Torre, Sonja Gruen
Article
Biology
Masami Tatsuno, Soroush Malek, LeAnna Kalvi, Adrian Ponce-Alvarez, Karim Ali, David R. Euston, Sonja Gruen, Bruce L. McNaughton
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
(2020)
Article
Mathematical & Computational Biology
Florian Porrmann, Sarah Pilz, Alessandra Stella, Alexander Kleinjohann, Michael Denker, Jens Hagemeyer, Ulrich Rueckert
Summary: In this paper, a customized FP-Growth implementation tailored to the requirements of SPADE was proposed to significantly accelerate pattern mining and result filtering in neuronal spike activity analysis. The implementation showed 27 to 200 times faster speed compared to the original method, while reducing energy consumption by up to two orders of magnitude, making it suitable for execution on heterogeneous and low-power embedded devices.
FRONTIERS IN NEUROINFORMATICS
(2021)
Article
Biology
David Dahmen, Moritz Layer, Lukas Deutz, Paulina Anna Dabrowska, Nicole Voges, Michael von Papen, Thomas Brochier, Alexa Riehle, Markus Diesmann, Sonja Gruen, Moritz Helias
Summary: Modern electrophysiological recordings capture the activities of hundreds of neurons in the brain and reveal strong coordination even among unconnected neurons. Local connectivity heterogeneity supports complex long-range cooperation between neurons, allowing the brain to adapt neuronal coordination to different demands.
Article
Neurosciences
Christian M. Kiefer, Junji Ito, Ralph Weidner, Frank Boers, N. Jon Shah, Sonja Gruen, Juergen Dammers
Summary: The study investigated how interregional interactions in the brain change during active vision tasks, showing that different patterns of brain network connectivity exist during freely viewing natural images versus performing guided visual search. The right supramarginal gyrus was found to play a central role in information exchange during these tasks.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Multidisciplinary Sciences
Junji Ito, Cristian Joana, Yukako Yamane, Ichiro Fujita, Hiroshi Tamura, Pedro E. Maldonado, Sonja Gruen
Summary: In natural vision, neuronal responses to visual stimuli are more distinct and faster during active vision, compared to passive vision. The increase in lifetime sparseness in the supragranular layer suggests the involvement of top-down predictive mechanisms.
SCIENTIFIC REPORTS
(2022)
Article
Multidisciplinary Sciences
Xing Chen, Aitor Morales-Gregorio, Julia Sprenger, Alexander Kleinjohann, Shashwat Sridhar, Sacha J. van Albada, Sonja Gruen, Pieter R. Roelfsema
Summary: This paper describes the method of using electrophysiological recordings to obtain a resting state dataset with high channel counts and spatiotemporal resolution. These data can be used to observe brain waves across larger regions of the cortex and reveal the background activity that influences visual information processing.
Article
Biology
Robin Gutzen, Sonja Gruen, Michael Denker
Summary: In this study, a statistical test for comparing matrices representing aspects of neural networks, especially the correlation between spiking activity and connectivity, is proposed. The test quantifies matrix similarity based on the angles between ranked eigenvectors. It can also be used to compare adjacency matrices of different network types. The test is applied to evaluate the influence of connectivity features on correlated activity.
Article
Biology
Cristiano Capone, Chiara De Luca, Giulia De Bonis, Robin Gutzen, Irene Bernava, Elena Pastorelli, Francesco Simula, Cosimo Lupo, Leonardo Tonielli, Francesco Resta, Anna Letizia Allegra Mascaro, Francesco Pavone, Michael Denker, Pier Stanislao Paolucci
Summary: The development of novel techniques allows us to estimate data-driven models from wide-field brain recordings, improving our understanding of brain modulation and traveling wave dynamics. In this study, models were inferred from high-resolution in-vivo recordings of mouse brain, and experimental and simulated data were assimilated to characterize the features of cortical waves.
COMMUNICATIONS BIOLOGY
(2023)
Article
Mathematical & Computational Biology
Junji Ito, Anuele Lucrezia, Guenther Palm, Sonja Gruen
MATHEMATICAL BIOSCIENCES AND ENGINEERING
(2019)