Article
Multidisciplinary Sciences
Laura Green, David Tingley, John Rinzel, Gyorgy Buzsaki
Summary: This study investigates the role of action in the neuronal organization of the hippocampus through a behavioral experiment of training rats to jump a gap. The results indicate that jumping induces consistent electrophysiological patterns in the hippocampus, while the theta spike phase versus animal position relationship remains unchanged.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Article
Multidisciplinary Sciences
Daniel Pacheco Estefan, Riccardo Zucca, Xerxes Arsiwalla, Alessandro Principe, Hui Zhang, Rodrigo Rocamora, Nikolai Axmacher, Paul F. M. J. Verschure
Summary: Active navigation enhances hippocampal theta oscillations and promotes a more accurate reactivation of stimulus-specific information during memory retrieval. Active learning improves memory performance by segregating conceptually similar items into more distant theta phases based on the temporal structure of intracycle reactivations in theta.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2021)
Article
Multidisciplinary Sciences
Georgios Spyropoulos, Jarrod Robert Dowdall, Marieke Louise Scholvinck, Conrado Arturo Bosman, Bruss Lima, Alina Peter, Irene Onorato, Johanna Klon-Lipok, Rasmus Roese, Sergio Neuenschwander, Wolf Singer, Martin Vinck, Pascal Fries
Summary: This study describes the dynamics of local field potential gamma oscillations using a damped harmonic oscillator model, and investigates the mechanisms underlying the variability in amplitude and duration.
NATURE COMMUNICATIONS
(2022)
Article
Neurosciences
Berta Nicolas, Jacint Sala-Padro, David Cucurell, Mila Santurino, Merce Falip, Lluis Fuentemilla
Summary: Integrating new information into existing schematic/semantic structures of knowledge is essential for learning, and hippocampus plays a crucial role in this process. EEG theta oscillations and neural similarity differ when integrating novel pictures into simple networks versus schematic/semantic networks.
Article
Neurosciences
Jesse T. Miles, Kevan S. Kidder, Ziheng Wang, Yiru Zhu, David H. Gire, Sheri J. Y. Mizumori
Summary: The study uses trajectory-based features and machine learning classifiers to distinguish VTEs from non-VTEs in rats, showing that hippocampal field potential oscillation features can also be used in classification but with modest success. Combining oscillation-based features with trajectory-based features does not improve classifier performance compared to using trajectory-based features alone.
FRONTIERS IN NEUROSCIENCE
(2021)
Article
Biology
Nicolas Diekmann, Sen Cheng, Payam Piray
Summary: Replay of neuronal sequences in the hippocampus during resting states and sleep is important for learning and memory consolidation. A stochastic replay mechanism that prioritizes experiences based on experience strength, similarity, and inhibition of return leads to better performance in training reinforcement learning agents.
Article
Neurosciences
Lucinda J. Speers, Kirsten R. Cheyne, Elena Cavani, Tara Hayward, Robert Schmidt, David K. Bilkey
Summary: The study found that schizophrenia may lead to a greater variability in the starting phase of precession in animals entering new environments, resulting in a disorganization of the ordered representation of experience.
JOURNAL OF NEUROSCIENCE
(2021)
Review
Biochemistry & Molecular Biology
Zhenglin Gu, Jerrel L. Yakel
Summary: Cholinergic regulation of hippocampal theta rhythm, including both type I and type II oscillations, is crucial for hippocampal functions and learning.
Article
Neurosciences
Kenji Mizuseki, Takuma Kitanishi
Summary: The hippocampus processes information related to spatial navigation and the subiculum plays a crucial role in distributing this information to different brain areas. Subicular neurons fire at higher rates and exhibit accurately decodable representations of place, speed, and trajectory, which are more resistant to noise and advantageous for long-range information transfer. The subiculum selectively or uniformly distributes information to target areas and theta oscillations and sharp-wave ripples control the broadcasting of information in a pathway-specific manner.
CURRENT OPINION IN NEUROBIOLOGY
(2022)
Article
Neurosciences
Mareike A. Gann, Bradley R. King, Nina Dolfen, Menno P. Veldman, Kimberly L. Chan, Nicolaas A. J. Puts, Richard A. E. Edden, Marco Davare, Stephan P. Swinnen, Dante Mantini, Edwin M. Robertson, Genevieve Albouy
Summary: This study provides experimental evidence that targeted brain stimulation can alter functional responses in the striatum and hippocampus during motor learning in humans. While the stimulation did not directly affect motor performance or task-related brain activity, it did influence connectivity patterns within networks and the levels of GABA neurotransmitter.
Article
Neurosciences
Joseph H. Rudoler, Nora A. Herweg, Michael J. Kahana
Summary: Computational models suggest that hippocampal theta plays a crucial role in learning and memory, but human hippocampal recordings show divergent results. Decreases in memory-related broadband power mask narrowband theta increases. Theta oscillations appear prominently in memory retrieval processes and when aggregating signals across large brain regions. The study analyzed human hippocampal recordings from 162 neurosurgical patients performing a free recall task and found that broadband theta signals decrease while narrowband theta signals increase during successful encoding. Low-frequency theta oscillations increase before recall, but higher-frequency theta and alpha oscillations decrease, masking the positive effect of theta when aggregating across the full band. The effects of theta on memory encoding and retrieval are consistent regardless of the reference scheme used.
JOURNAL OF NEUROSCIENCE
(2023)
Article
Behavioral Sciences
Eduardo Solorzano Hernandez, Jose Miguel Cervantes Alfaro, Rosalinda Figueroa Rosales, Blanca Erika Gutierrez Guzman, Miguel Angel Lopez Vazquez, Maria Esther Olvera Cortes
Summary: This study found that serotonin can modulate the power of theta activity and the efficiency of hippocampal learning and memory. Specifically, serotonin regulates the activity of the medial septum-diagonal band of Broca (MS/DBB), which in turn affects the expression of theta activity and the coherence with other hippocampal regions. These findings reveal the important role of serotonin in hippocampal learning and memory.
BEHAVIOURAL BRAIN RESEARCH
(2022)
Article
Engineering, Civil
Xiaolong Hu, Liangsheng Shi, Guang Lin
Summary: This study proposed a data-driven solution to correct the structural error in energy balance-based evapotranspiration models, by utilizing machine learning algorithms to estimate instantaneous energy balance ratio (EBR) and decrease estimation errors. Environmental factors contributing to the energy imbalance problem, as well as the sensitivity of friction velocity and atmospheric stability, were evaluated and explained. The data-driven approach showed good generalization performance and the three machine learning algorithms performed similarly in overcoming the energy imbalance-induced structural error.
JOURNAL OF HYDROLOGY
(2021)
Article
Multidisciplinary Sciences
Juan Facundo Morici, Noelia Victoria Weisstaub, Camila Lidia Zold
Summary: Remembering life episodes is a complex process that requires interaction among multiple brain areas. The hippocampus activates the medial prefrontal cortex to trigger the recall of past events. Electrophysiological recordings showed increased synchronization between the ventral hippocampus and the medial prefrontal cortex during exploration of contextually mismatched objects.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Article
Neurosciences
Zhenyu Xie, Shuxun Dong, Yiyao Zhang, Yi Yuan
Summary: The present study investigated the effectiveness of closed-loop transcranial ultrasound stimulation (closed-loop TUS) in modulating brain function to enhance memory. The researchers found that closed-loop TUS applied at the peak phase of theta cycles significantly improved memory performance in rats. The study also observed changes in neural activity and synaptic transmission patterns with closed-loop TUS.
Review
Neurosciences
Nicholas A. Ketz, Ole Jensen, Randall C. O'Reilly
TRENDS IN NEUROSCIENCES
(2015)
Editorial Material
Neurosciences
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Neurosciences
Wolfgang M. Pauli, Thomas E. Hazy, Randall C. O'Reilly
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Dean Wyatte, Tim Curran, Randall O'Reilly
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Seth A. Herd, Kai A. Krueger, Trenton E. Kriete, Tsung-Ren Huang, Thomas E. Hazy, Randall C. O'Reilly
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Seth Herd, Andrew Szabados, Yury Vinokurov, Christian Lebiere, Ashley Cline, Randall C. O'Reilly
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Matthias D. Ziegler, Suhas E. Chelian, James Benvenuto, Jeffrey L. Krichmar, Randall O'Reilly, Rajan Bhattacharyya
BIOLOGICALLY INSPIRED COGNITIVE ARCHITECTURES
(2014)
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Randall C. O'Reilly, Jacob L. Russin, Maryam Zolfaghar, John Rohrlich
Summary: Humans learn from raw sensory experience through a mechanism driven by the differences between predictions and actual outcomes. Feedback signals from actual outcomes adjust synaptic connections in the brain, facilitating error backpropagation learning for systematic categorization based on invariant shape properties.
JOURNAL OF COGNITIVE NEUROSCIENCE
(2021)
Article
Psychology, Multidisciplinary
Randall C. O'Reilly, Charan Ranganath, Jacob L. Russin
Summary: A hallmark of human intelligence is the ability to adapt to new situations by applying learned rules to new content. The human brain achieves this through pathways in the parietal cortex that encode the abstract structure of space, events, and tasks, and pathways in the temporal cortex that encode information about specific people, places, and things. Recent neural network models demonstrate how the separation of structure and content can lead to significant improvements in capturing systematic, generative behavior.
CURRENT DIRECTIONS IN PSYCHOLOGICAL SCIENCE
(2022)
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Biochemical Research Methods
Yicong Zheng, Xiaonan L. Liu, Satoru Nishiyama, Charan Ranganath, Randall C. O'Reilly
Summary: The hippocampus is crucial for rapid learning of new episodic memories. A new model called Theremin, which extends error-driven learning to area CA3, has significantly improved capacity and learning speed compared to previous models based on Hebbian learning.
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