Article
Neurosciences
Jared T. Shapiro, Nicole M. Michaud, Jillian L. King, Nathan A. Crowder
Summary: Interneurons play a crucial role in information processing in the cortex. This study aimed to clarify the differences between interneuron subtypes by examining their effects on contrast tuning in V1 neurons. The results showed that the effects varied with cortical depth rather than light intensity, suggesting different computational roles for specific interneuron subtypes.
Article
Construction & Building Technology
Faming Wang, Qihong Deng, Tze-Huan Lei, Xingming Wang, Alex Rui Wang
Summary: Electric fans are suggested for alleviating indoor heat stress, but existing biophysical models fail to consider cardiovascular impairment in older adults. This study highlights the importance of cardiovascular function in core temperature responses, showing that relying solely on sweating adjustment underestimates heat stress in older adults. Thus, using biophysical models to determine fan use threshold temperature for older adults during heatwaves is not recommended due to the lack of cardiovascular adjustment.
BUILDING AND ENVIRONMENT
(2023)
Article
Multidisciplinary Sciences
Yanjie Wang, Zhaonan Chen, Guofen Ma, Lizhao Wang, Yanmei Liu, Meiling Qin, Xiang Fei, Yifan Wu, Min Xu, Siyu Zhang
Summary: Lesions in the ACA cause visuospatial bias, which is mediated by a transcallosal inhibition loop. Activation of contralesional PV+ neurons improves contralesional detection and restores interhemispheric balance. Rating: 9/10.
NATURE COMMUNICATIONS
(2023)
Article
Neurosciences
Jae-Hyun Kim, Dong-Hyun Ma, Eunji Jung, Ilsong Choi, Seung-Hee Lee
Summary: In this study, Kim et al. found that visual inputs trigger gated feedforward inhibition of ACC neurons, which disinhibits striatal motor neurons and initiates precise responses in mice performing a visual Go/No-go task. The characteristics of ACC neurons can predict response times in mice, and optogenetic activation of visual inputs in the ACC prompts task-relevant actions by suppressing ACC motor neurons and disinhibiting downstream striatal neurons.
NATURE NEUROSCIENCE
(2021)
Article
Neurosciences
Atena Akbari, Saskia Bollmann, Tonima S. Ali, Markus Barth
Summary: Functional magnetic resonance imaging (fMRI) using blood-oxygenation-level-dependent (BOLD) contrast is a widely used noninvasive method for studying human brain function. However, spatial signal specificity in depth-dependent fMRI can be degraded due to signal leakage. VAscular-Space-Occupancy (VASO) contrast, which measures cerebral blood volume, has shown higher spatial specificity compared to BOLD. In this study, a cortical vascular model was used to predict layer-specific BOLD and VASO responses in the human primary visual cortex, and the model's predictions were compared with experimental results. The results confirmed that VASO is less affected by large vessel effects compared to BOLD.
HUMAN BRAIN MAPPING
(2023)
Article
Physics, Multidisciplinary
Yue Kris Wu, Julijana Gjorgjieva
Summary: Inhibition stabilization is a common property of cortical networks, but the effects of neuronal nonlinearities and short-term plasticity (STP) on inhibition stabilization and the paradoxical effect are unclear. Using analytical calculations, this study demonstrates that the paradoxical effect implies inhibition stabilization in networks with STP, but inhibition stabilization does not imply the paradoxical effect. These findings suggest that networks with neuronal nonlinearities and STP can transition between different regimes of inhibition stabilization and the paradoxical effect.
PHYSICAL REVIEW RESEARCH
(2023)
Article
Computer Science, Cybernetics
Erik G. N. Olson, Travis K. Wiens, John R. Gray
Summary: The detection of looming obstacles is crucial for both natural and artificial systems. A novel model was developed based on recent literature to study the feedforward inhibitory neurons in the locust optic lobe, incorporating global and lateral inhibition into the network. Tests with the model showed that it accurately replicates the behavior of feedforward inhibitory neurons in locusts and sheds light on the potential role of global and lateral inhibition in shaping inhibitory signals to the LGMD.
BIOLOGICAL CYBERNETICS
(2021)
Article
Neurosciences
Kristina T. R. Ciesielski, Christopher Bouchard, Isabel Solis, Brian A. Coffman, Davood Tofighi, John C. Pesko
Summary: The study reveals that children are capable of successfully inhibiting delayed responses during the waiting-to-respond window, despite lower inhibitory effects observed in the prefrontal brain regions. In contrast, children exhibit stronger inhibitory effects in the occipital/parietal regions, especially in younger age groups.
EXPERIMENTAL BRAIN RESEARCH
(2021)
Article
Neurosciences
Alessio P. Buccino, Michael Kordovan, Torbjorn Ness, Benjamin Merkt, Philipp D. Hafliger, Marianne Fyhn, Gert Cauwenberghs, Stefan Rotter, Gaute T. Einevoll
JOURNAL OF NEUROPHYSIOLOGY
(2018)
Article
Neurosciences
Torbjorn V. Ness, Michiel W. H. Remme, Gaute T. Einevoll
JOURNAL OF NEUROSCIENCE
(2018)
Article
Biochemical Research Methods
Pablo Martinez-Canada, Milad Hobbi Mobarhan, Geir Halnes, Marianne Fyhn, Christian Morillas, Francisco Pelayo, Gaute T. Einevoll
PLOS COMPUTATIONAL BIOLOGY
(2018)
Article
Biochemical Research Methods
Andreas Solbra, Aslak Wigdahl Bergersen, Jonas van den Brink, Anders Malthe-Sorenssen, Gaute T. Einevoll, Geir Haines
PLOS COMPUTATIONAL BIOLOGY
(2018)
Article
Biochemical Research Methods
Geir Halnes, Simen Tennoe, Trude M. Haug, Gaute T. Einevoll, Finn-Arne Weltzien, Kjetil Hodne
PLOS COMPUTATIONAL BIOLOGY
(2019)
Article
Computer Science, Interdisciplinary Applications
Alessio Paolo Buccino, Gaute Tomas Einevoll
Summary: Spike sorting is a crucial step in neuroscience research, but validating the performance of sorting techniques remains challenging. Simulated ground-truth recordings offer a powerful alternative for evaluating the performance of spike sorters.
Article
Biology
Tuomo Maki-Marttunen, Nicolangelo Iannella, Andrew G. Edwards, Gaute T. Einevoll, Kim T. Blackwell
Article
Neurosciences
Solveig Naess, Geir Halnes, Espen Hagen, Donald J. Hagler, Anders M. Dale, Gaute T. Einevoll, Torbjorn Ness
Summary: This paper presents a method for reducing arbitrary simulated neural activity to single current dipoles, applicable for calculating extracranial signals but less suited for calculating intracranial electrocorticography (ECoG) signals. It demonstrates how the method can serve as a powerful tool for investigating the neural origin of EEG/MEG signals through example studies of single-neuron EEG contribution, putative EEG contribution from calcium spikes, and calculating EEG signals from large-scale neural network simulations. By using detailed head models, simulated current dipoles can be applied to generate EEG signals with an unprecedented level of biophysical details, presenting a framework for biophysically detailed modeling of EEG and MEG signals to better understand non-invasively measured neural activity in humans.
Article
Computer Science, Interdisciplinary Applications
Espen Hagen, Anna R. Chambers, Gaute T. Einevoll, Klas H. Pettersen, Rune Enger, Alexander J. Stasik
Summary: This study introduces a novel artificial intelligence method for detecting hippocampal sharp wave ripples, which outperforms traditional feature extraction methods, showing higher accuracy. The proposed algorithm is open source and easily integrated into existing data analysis workflows.
Article
Biochemical Research Methods
Kael Dai, Sergey L. Gratiy, Yazan N. Billeh, Richard Xu, Binghuang Cai, Nicholas Cain, Atle E. Rimehaug, Alexander J. Stasik, Gaute T. Einevoll, Stefan Mihalas, Christof Koch, Anton Arkhipov
PLOS COMPUTATIONAL BIOLOGY
(2020)
Article
Biochemical Research Methods
Pablo Martinez-Canada, Torbjorn V. Ness, Gaute T. Einevoll, Tommaso Fellin, Stefano Panzeri
Summary: This study derived a new mathematical expression called EEG proxy, which can accurately estimate EEG signals based on simulations of point-neuron network models. The new proxies outperformed previous approaches and provided a better approximation of EEG spectra and evoked potentials. This work offers important mathematical tools for interpreting experimentally measured EEGs within neural models of brain function.
PLOS COMPUTATIONAL BIOLOGY
(2021)
Article
Biochemical Research Methods
Marte J. Saetra, Gaute T. Einevoll, Geir Halnes
Summary: The traditional computational models in computational neuroscience often neglect the simulation of glia cells and the extracellular space. The edNEG model presented in this study is the first to combine compartmental neuron modeling with an electrodiffusive framework for intra- and extracellular ion concentration dynamics. This model offers a more comprehensive and realistic simulation of ion concentration dynamics in brain tissue.
PLOS COMPUTATIONAL BIOLOGY
(2021)
Review
Physiology
Jussi T. Koivumaki, Johan Hoffman, Mary M. Maleckar, Gaute T. Einevoll, Joakim Sundnes
Summary: Mathematical models have greatly advanced cardiovascular physiology research, but barriers between experimental and computational approaches remain, calling for closer integration.
Article
Biochemical Research Methods
Espen Hagen, Steinn H. Magnusson, Torbjorn V. Ness, Geir Halnes, Pooja N. Babu, Charl Linssen, Abigail Morrison, Gaute T. Einevoll
Summary: Simulations of neural activity at different levels of detail play a crucial role in modern neurosciences. In this study, a computational framework is proposed to accurately predict the spatiotemporal filter kernels for extracellular signals resulting from synaptic activity. The framework takes into account the biophysics of neurons, populations, and recurrent connections, resulting in accurate predictions of the ground truth extracellular signals. The study also improves the computational efficiency of signal predictions from large-scale neuron network models.
PLOS COMPUTATIONAL BIOLOGY
(2022)
Article
Biology
Atle E. Rimehaug, Alexander J. Stasik, Espen Hagen, Yazan N. Billeh, Josh H. Siegle, Kael Dai, Shawn R. Olsen, Christof Koch, Gaute T. Einevoll, Anton Arkhipov
Summary: This study investigates the synaptic and circuit contributions to current sinks and sources in mouse primary visual cortex using a detailed circuit model and Neuropixels recordings. The results show that firing rates can be altered by adjusting synaptic weights with minor effects on the current source density (CSD) pattern, while the CSD can be altered by adjusting synaptic placement on the dendrites with minor effects on firing rates. Thalamocortical inputs and cortical feedback play crucial roles in shaping specific sinks and sources during visual response.