48 citations · 94 across the 36 of their papers we have counts for
48 papers
Social Discounting Enables Fast and Reliable Collective Escape
Zachary P Kilpatrick
Solitary animals face a tradeoff when detecting threats: faster detection means accepting more false alarms. We show that groups can manage this tradeoff better by treating an undi…
Resource depletion accelerates rate learning but not composition learning in patch foraging
Zachary P. Kilpatrick, Ahmed El Hady
Foraging is a universal animal behavior that has increasingly attracted the interest of both experimentalists and theorists. Most prior models assume an animal knows the distributi…
Astrocytic resource diffusion stabilizes persistent activity in neural fields
Noah Palmer, Heather L. Cihak, Daniele Avitabile +1
Persistent neural activity underlying working memory requires sustained synaptic transmission, yet the metabolic and neurotransmitter support provided by astrocyte networks is larg…
Modularity, asymmetry, and polarization shape consensus speed in the voter model
Madi Yerlanov, Zachary Kilpatrick, Nancy Rodriguez
In populations with community structure, the formation of consensus requires both alignment within and diffusion of beliefs across groups, processes that evolve on distinct time sc…
Stroboscopic motion reversals in delay-coupled neural fields
Noah Parks, Zachary P Kilpatrick
Visual illusions provide a window into the mechanisms underlying visual processing, and dynamical neural circuit models offer a natural framework for proposing and testing theories…
Modeling Social Systems: Transparency, Reproducibility, and Responsibility
Maximino Aldana, Roni Barak Ventura, Heather Z. Brooks +13
Mathematical models of complex social systems can enrich social scientific theory, inform interventions, and shape policy. From voting behavior to economic inequality and urban dev…
Radial Basis Function Techniques for Neural Field Models on Surfaces
Sage B Shaw, Zachary P Kilpatrick, Daniele Avitabile
We present a numerical framework for solving neural field equations on surfaces using Radial Basis Function (RBF) interpolation and quadrature. Neural field models describe the evo…
Information-Seeking Decision Strategies Mitigate Risk in Dynamic, Uncertain Environments
Nicholas W. Barendregt, Joshua I. Gold, Krešimir Josić +1
To survive in dynamic and uncertain environments, individuals must develop effective decision strategies that balance information gathering and decision commitment. Models of such…
Robustly encoding certainty in a metastable neural circuit model
Heather L Cihak, Zachary P Kilpatrick
Localized persistent neural activity can encode delayed estimates of continuous variables. Common experiments require that subjects store and report the feature value (e.g., orient…
Fast decisions reflect biases, slow decisions do not
Samantha Linn, Sean D. Lawley, Bhargav R. Karamched +2
Decisions are often made by heterogeneous groups of individuals, each with distinct initial biases and access to information of different quality. We show that in large groups of i…
Representing stimulus motion with waves in adaptive neural fields
Sage Shaw, Zachary P Kilpatrick
Traveling waves of neural activity emerge in cortical networks both spontaneously and in response to stimuli. The spatiotemporal structure of waves can indicate the information the…
Multiscale motion and deformation of bumps in stochastic neural fields with dynamic connectivity
Heather L Cihak, Zachary P Kilpatrick
The distinct timescales of synaptic plasticity and neural activity dynamics play an important role in the brain's learning and memory systems. Activity-dependent plasticity reshape…
Correlated Information Reduces Accuracy of Pioneering Decision-Makers
Megan Stickler, William Ott, Zachary P. Kilpatrick +2
Normative models are often used to describe how humans and animals make decisions. These models treat deliberation as the accumulation of uncertain evidence that terminates with a…
Adaptive Bayesian Inference of Markov Transition Rates
Nicholas W. Barendregt, Emily G. Webb, Zachary P. Kilpatrick
Optimal designs minimize the number of experimental runs (samples) needed to accurately estimate model parameters, resulting in algorithms that, for instance, efficiently minimize…
Distinct excitatory and inhibitory bump wandering in a stochastic neural field
Heather L Cihak, Tahra L Eissa, Zachary P Kilpatrick
Localized persistent cortical neural activity is a validated neural substrate of parametric working memory. Such activity `bumps' represent the continuous location of a cue over se…
Stochastic dynamics of social patch foraging decisions
Subekshya Bidari, Ahmed El Hady, Jacob Davidson +1
Animals typically forage in groups. Social foraging can help animals avoid predation and decrease their uncertainty about the richness of food resources. Despite this, theoretical…
Hive geometry shapes the recruitment rate of honeybee colonies
Subekshya Bidari, Zachary P Kilpatrick
Honey bees make decisions regarding foraging and nest-site selection in groups ranging from hundreds to thousands of individuals. To effectively make these decisions bees need to c…
Normative theory of patch foraging decisions
Zachary P Kilpatrick, Jacob D Davidson, Ahmed El Hady
Foraging is a fundamental behavior as animals' search for food is crucial for their survival. Patch leaving is a canonical foraging behavior, but classic theoretical conceptions of…
Social inhibition maintains adaptivity and consensus of foraging honeybee swarms in dynamic environments
Subekshya Bidari, Orit Peleg, Zachary P Kilpatrick
To effectively forage in natural environments, organisms must adapt to changes in the quality and yield of food sources across multiple timescales. Individuals foraging in groups a…
Analyzing dynamic decision-making models using Chapman-Kolmogorov equations
Nicholas W. Barendregt, Krešimir Josić, Zachary P. Kilpatrick
Decision-making in dynamic environments typically requires adaptive evidence accumulation that weights new evidence more heavily than old observations. Recent experimental studies…
Performance of normative and approximate evidence accumulation on the dynamic clicks task
Adrian E. Radillo, Alan Veliz-Cuba, Krešimir Josić +1
The aim of a number of psychophysics tasks is to uncover how mammals make decisions in a world that is in flux. Here we examine the characteristics of ideal and near-ideal observer…
Optimal models of decision-making in dynamic environments
Zachary P. Kilpatrick, William R. Holmes, Tahra L. Eissa +1
Nature is in constant flux, so animals must account for changes in their environment when making decisions. How animals learn the timescale of such changes and adapt their decision…
Bayesian Evidence Accumulation on Social Networks
Bhargav Karamched, Simon Stolarczyk, Zachary Kilpatrick +1
To make decisions we are guided by the evidence we collect, as well as the opinions of friends and neighbors. How do we integrate our private beliefs with information we obtain fro…
Optimizing a jump-diffusion model of a starving forager
Nikhil Krishnan, Zachary P. Kilpatrick
We analyze the movement of a starving forager on a one-dimensional periodic lattice, where each location contains one unit of food. As the forager lands on sites with food, it cons…