Search · four archives
Search · four archives
16 papers · ranked by Valyu relevance
Ljubica Cimesa, Lazar Ciric, Srdjan Ostojic
Recurrent network models are instrumental in investigating how behaviorally-relevant computations emerge from collective neural dynamics. A recently developed class of models based on low-rank connectivity provides an analytically tractable framework for understanding of how connectivity structure determines the…
Ljubica Cimeša, Lazar Ciric, Srdjan Ostojic, Peter E. Latham
Recurrent network models are instrumental in investigating how behaviorally-relevant computations emerge from collective neural dynamics. A recently developed class of models based on low-rank connectivity provides an analytically tractable framework for understanding of how connectivity structure determines the…
Lily E. Kramer, Marlene R. Cohen
Visual experience is organized in time. When riding the same bus route each day, the visual scene unfolds in a predictable order without requiring active choice. During goal-directed behavior, individuals organize actions into routines, such as repeatedly walking the same route to work even when alternatives are…
SueYeon Chung, L. F. Abbott
- Manifold-like representations arise when a set of neurons in a biological or artificial neural network exhibits variability in response to stimuli or through internal recurrent dynamics. - Approaches focused on analyzing geometric properties of neural populations, i.e. neural population geometry, have emerged as a…
Albert J. Wakhloo, Will Slatton, SueYeon Chung
Latent Structure Authors: ['Albert J. Wakhloo' 'Will Slatton' 'SueYeon Chung'] Humans and animals can recognize latent structures in their environment and apply this information to efficiently navigate the world. Several recent works argue that the brain supports these abilities by forming neural representations that…
Veronica Bossio Botero, Nikolaus Kriegeskorte
The representational geometry of a brain region can be characterized by the distances among neural activity patterns for a set of experimental conditions. Researchers routinely estimate representational distances from brain-activity measurements that either sparsely sample the underlying neural population (e.g. neural…
Adrianna Loback, Jason Prentice, Mark L. Ioffe, Michael J. Berry
An appealing new principle for neural population codes is that correlations among neurons organize neural activity patterns into a discrete set of clusters, which can each be viewed as a noise-robust population codeword. Previous studies assumed that these codewords corresponded geometrically with local peaks in the…
Lev V. Kalmykov, Vyacheslav L. Kalmykov, Markus Dahlem
Complex systems may be mechanistically modelled by white-box modeling with using logical deterministic individual-based cellular automata. Mathematical models of complex systems are of three types: black-box (phenomenological), white-box (mechanistic, based on the first principles) and grey-box (mixtures of…
Authors not listed
We must address active matter in the context of soft boundaries in order to bridge the gap between our understanding of active matter and the dynamics of the biological systems (that the active matter represent) under natural conditions. However, the physics of such active drops (matter) in contact with a soft and…
Aleksandr Buglakov, Vasilisa Lelecova, Aleksandr Chertovich
Ability of particles to transform absorbed energy into translational movements brings peculiar orderings into the nonequilibrium matter. Connected together into the chain, these particles collectively behave completely different from well-known equilibrium polymers. Interestingly, one can find examples of active chains…
Timothy D. Whiteley, Daniele Avitabile, Peer-Olaf Siebers, Darren Robinson + 1 more
'Darren Robinson' 'Markus R. Owen'] Human residential population distributions show patterns of higher density clustering around local services such as shops and places of employment, displaying characteristic length scales; Fourier transforms and spatial autocorrelation show the length scale between UK cities is…
Nao Takashina, Buntarou Kusumoto, Yasuhiro Kubota, Evan P. Economo
Understanding macroecological patterns across scales is a central goal of ecology and a key need for conservation biology. Much research has focused on quantifying and understanding macroecological patterns such as the species-area relationship (SAR), the endemic-area relationship (EAR) and relative species abundance…
Teresa W. Lee, Kathleen E. Grogan, Justine S. Liepkalns
Evolution and its mechanisms of action are concepts that unite all aspects of biology, but remain some of the most difficult for students to understand. To address this challenge, we designed a hands-on activity that introduces fundamental mechanisms of evolutionary change: natural selection, genetic drift, and gene…
Andreas Pavlogiannis, Josef Tkadlec, Krishnendu Chatterjee, Martin A. Nowak
'Martin A. Nowak'] The fixation probability is the probability that a new mutant introduced in a homogeneous population eventually takes over the entire population. The fixation probability is a fundamental quantity of natural selection, and known to depend on the population structure. Amplifiers of natural selection…
Authors not listed
Dynamics of population growth or enzyme kinetics do not follow a constant rate making them difficult to quantify. Therefore, a single measure of dynamics is desired to profile the kinetic activities of enzymes with respect to various substrates. In this work, we use a growth model to model enzyme kinetics and provide a…
Zhihao Wu, Giulia Menichetti, Christoph Rahmede, Ginestra Bianconi
Networks are mathematical structures that are universally used to describe a large variety of complex systems such as the brain or the Internet. Characterizing the geometrical properties of these networks has become increasingly relevant for routing problems, inference and data mining. In real growing networks…