Article
Multidisciplinary Sciences
Lou Beaulieu-Laroche, Norma J. Brown, Marissa Hansen, Enrique H. S. Toloza, Jitendra Sharma, Ziv M. Williams, Matthew P. Frosch, Garth Rees Cosgrove, Sydney S. Cash, Mark T. Harnett
Summary: The size of neurons influences their input-output features, with different species showing conservative rules of adaptation and human neurons exhibiting atypical behavior in terms of potassium and HCN conductance.
Article
Multidisciplinary Sciences
Yu Takata, Hiroshi Nakagawa, Taihei Ninomiya, Hajime Yamanaka, Masahiko Takada
Summary: The structure of basal dendrites of large layer V pyramidal neurons in the dorsal premotor cortex differs from other motor-related areas, with less developed complexity and lower density of dendritic spines. This suggests distinct patterns of motor information processing within individual motor-related areas.
SCIENTIFIC REPORTS
(2021)
Article
Neurosciences
Hong-Yan Geng, Gordon Arbuthnott, Wing-Ho Yung, Ya Ke
Summary: This study mapped all long-range monosynaptic inputs to M1 deep output neurons in layer 5 (L5) and revealed that most upstream areas innervate both dendritic compartments concurrently. The dichotomous inputs arise mostly from spatially segregated neuronal subpopulations within an upstream nucleus, indicating a previously unknown and highly intricate synaptic input pattern of M1L5 neurons.
Article
Cell Biology
Nikolai C. Dembrow, William J. Spain
Summary: Understanding how neurons encode network activity is crucial for understanding brain information processing. In the mouse motor cortex, branches of layer 5 pyramidal neurons can enhance responses to spatially clustered and synchronous input through nonlinear boosting. Inputs distributed along dendritic branches can recruit supralinear boosting, providing a mechanism for preferentially amplifying slow frequency network oscillations.
Article
Multidisciplinary Sciences
L. Godenzini, D. Alwis, R. Guzulaitis, S. Honnuraiah, G. J. Stuart, L. M. Palmer
Summary: The study demonstrates the impact of auditory input on sensory encoding in the somatosensory cortex and its positive influence on goal-directed behavior. Auditory input enhances neuronal output and reduces response latency during goal-directed behavior in a tactile-based task.
NATURE COMMUNICATIONS
(2021)
Article
Neurosciences
Guillermo Gonzalez-Burgos, Takeaki Miyamae, Nita Reddy, Sidney Dawkins, Chloe Chen, Avyi Hill, John Enwright, Bard Ermentrout, David A. Lewis
Summary: In primates, the DLPFC and PPC cortices play crucial roles in the working memory network, with higher frequency oscillations observed in DLPFC. The higher frequency in DLPFC may be attributed to a greater quantity of synapses in the basal dendrites, leading to stronger synaptically evoked excitation and subsequently, increased oscillation frequency and power. These findings provide insights into the mechanisms underlying regional differences in oscillation properties between brain regions.
Article
Neurosciences
David Beniaguev, Idan Segev, Michael London
Summary: Through machine learning, a systematic approach to characterize neurons' input/output mapping complexity has been introduced, highlighting the use of deep neural networks for capturing complex I/O mapping in realistic models of cortical neurons. The study also reveals that synaptic integration in dendritic branches can be conceptualized as pattern matching from a set of spatiotemporal templates, shedding light on the computational complexity of single neurons and the unique architecture of cortical networks.
Article
Biology
Maria C. Perez-Flores, Eric Verschooten, Jeong Han Lee, Hyo Jeong Kim, Philip X. Joris, Ebenezer N. Yamoah
Summary: Mechanosensation is crucial for hearing, balance, and touch. The auditory system achieves ultrafast speed and high audio-frequency hearing through the interaction between mechanical sensitivity and synaptic responses.
Article
Neurosciences
Mathieu Lafourcade, Marie-Sophie H. van der Goes, Dimitra Vardalaki, Norma J. Brown, Jakob Voigts, Dae Hee Yun, Minyoung E. Kim, Taeyun Ku, Mark T. Harnett
Summary: Synaptic NMDA receptors produce dendritic supralinearities, expanding computational capabilities of single neurons and circuits. Different inputs selectively target different dendritic compartments, exhibiting differential expression of supralinearity due to changes in receptor ratio. The coexistence of multiple modes of dendritic integration has important implications for synaptic plasticity and cortical computation.
Article
Multidisciplinary Sciences
Michalis Pagkalos, Spyridon Chavlis, Panayiota Poirazi
Summary: Computational modeling is crucial for understanding the impact of subcellular features on circuit processing, but the role of dendritic computations in network-level operations is still largely unknown. Existing tools do not enable the development of realistic and efficient network models that take dendrites into account. To address this gap, the authors introduce Dendrify, an open-source Python package, which automatically generates simplified neuron models with biologically relevant dendritic and synaptic properties. These models strike a balance between flexibility, performance, and biological accuracy, enabling the study of dendritic contributions to network-level functions and the development of more powerful neuromorphic systems.
NATURE COMMUNICATIONS
(2023)
Article
Neurosciences
Sebi Rolotti, Heike Blockus, Fraser T. Sparks, James B. Priestley, Attila Losonczy
Summary: The hippocampus plays a critical role in memory consolidation, particularly during sharp-wave ripple (SWR) events. This study investigated the relationship between network state and information processing in dendrites, the primary sites of synaptic input integration and plasticity. The researchers found that immobility led to increased dendritic activity, which was concentrated during SWR events. Concurrent dendritic and somatic activity during SWRs predicted increased coupling during subsequent exploration of a novel environment. Somatic-dendritic coupling and SWR recruitment also varied based on cells' tuning distance to reward location during a goal-learning task.
Article
Biochemical Research Methods
Sara Saray, Christian A. Roessert, Shailesh Appukuttan, Rosanna Migliore, Paola Vitale, Carmen A. Lupascu, Luca L. Bologna, Werner Van Geit, Armando Romani, Andrew P. Davison, Eilif Muller, Tamas F. Freund, Szabolcs Kali
Summary: Anatomically and biophysically detailed data-driven neuronal models are widely used for understanding and predicting neuron behavior. However, there is a lack of methods to quantitatively compare different models or test their behavior in various contexts. To address this, a Python test suite was developed for comparing and evaluating the behavior of models against experimental data, focusing on the CA1 pyramidal cell of the rat hippocampus. This approach was demonstrated to be useful in improving model accuracy and aiding in the development of neural models within the European Human Brain Project.
PLOS COMPUTATIONAL BIOLOGY
(2021)
Article
Multidisciplinary Sciences
Giuseppe Chindemi, Marwan Abdellah, Oren Amsalem, Ruth Benavides-Piccione, Vincent Delattre, Michael Doron, Andras Ecker, Aurelien T. Jaquier, James King, Pramod Kumbhar, Caitlin Monney, Rodrigo Perin, Christian Roessert, Anil M. Tuncel, Werner Van Geit, Javier DeFelipe, Michael Graupner, Idan Segev, Henry Markram, Eilif B. Muller
Summary: This study introduces a model of synaptic plasticity based on data-constrained calcium dynamics, and demonstrates that a single parameter set can explain the experimental findings on long-term potentiation (LTP) and long-term depression (LTD) of pyramidal cell (PC) connections in the neocortex. The study also predicts different plasticity dynamics in vivo compared to in vitro, and provides a framework for further modeling cortical synaptic plasticity.
NATURE COMMUNICATIONS
(2022)
Review
Neurosciences
Alexander Joseph McDonald
Summary: This review explores the neuroanatomical aspects of the three main monoaminergic systems involved in innervating the basolateral nuclear complex (BNC) of the amygdala. The focus is on studying the relationship between specific monoaminergic inputs, their receptors, and specific neuronal subtypes in order to understand how they modulate the BNC circuitry. The review discusses the identification of different BNC neuronal subpopulations, their local circuitry, connections with other neurons, and the receptor expression of the three monoaminergic systems.
JOURNAL OF NEUROSCIENCE RESEARCH
(2023)
Review
Neurosciences
Valerio Francioni, Mark T. Harnett
Summary: This review discusses the significance of active dendritic processing in the computational power of individual neurons and contextualizes recent research findings. It highlights the lower degree of dendritic compartmentalization observed in in vivo experiments and its impact on future studies. The review also explores how highly coordinated activity in soma and dendrites can influence cortical computations.