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DTSTART;TZID=America/New_York:20251210T110000
DTEND;TZID=America/New_York:20251210T120000
DTSTAMP:20260525T202920
CREATED:20251125T161729Z
LAST-MODIFIED:20251201T155241Z
UID:2039-1765364400-1765368000@arni-institute.org
SUMMARY:Speaker: Alan Stocker ARNI WG Multi-resource-cost optimization of neural network models
DESCRIPTION:Alan Stocker\nProfessor of Psychology at UPenn \nTitle: Economics of temporal evidence integration \nAbstract: The temporal integration of sensory information is an important aspect of many human decision tasks. I will present results of ongoing research in my laboratory aimed at understanding the dynamic processes underlying evidence integration. In particular\, I will discuss a novel resource-rational model that treats both the representation as well as the integration and maintenance of sensory evidence as actively controlled\, performance-effort trade-off mechanisms. Validated against data from various behavioral experiments\, the model not only provides a normative explanation for observed non-linear dynamics in evidence integration but also a parsimonious explanation for individual tendencies for recency or primacy behavior. As the work is ongoing and unpublished\, I am looking forward to an engaged discussion with the audience. \nZoom Link: Upon request @ arni@columbia.edu
URL:https://arni-institute.org/event/speaker-alan-stocker-arni-wg-multi-resource-cost-optimization-of-neural-network-models/
LOCATION:Zuckerman Institute – L3-079\, 3227 Broadway\, New York\, NY\, 10027\, United States
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20251211T150000
DTEND;TZID=America/New_York:20251211T160000
DTSTAMP:20260525T202920
CREATED:20251209T181210Z
LAST-MODIFIED:20251209T181210Z
UID:2095-1765465200-1765468800@arni-institute.org
SUMMARY:ARNI Continual Learning Working Group
DESCRIPTION:Next Meeting Info\n\n\nDate: Thursday\, Dec 11\nTime: 3pm-4pm\nRoom: CEPSR 620\nZoom: Upon request @ arni@columbia.edu
URL:https://arni-institute.org/event/arni-continual-learning-working-group-4/
LOCATION:CEPSR 620\, Schapiro 530 W. 120th St
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20251212T113000
DTEND;TZID=America/New_York:20251212T130000
DTSTAMP:20260525T202920
CREATED:20251209T200320Z
LAST-MODIFIED:20251209T200320Z
UID:2157-1765539000-1765544400@arni-institute.org
SUMMARY:CTN: Mehrdad Jazayeri
DESCRIPTION:Title: Adaptive problem solving in the primate frontal cortex\n\nAbstract: Humans excel at solving problems adaptively. When missing the bus to an appointment\, for instance\, we might wait for the next one\, call a taxi\, cancel\, or reschedule\, depending on the situation. This ability to assess context and choose a suitable strategy is central to intelligence\, yet its neural and computational foundations remain poorly understood. To address this gap\, we trained monkeys on a challenging decision-making task that could be solved using multiple strategies\, providing a controlled setting to study strategic flexibility. Behaviorally\, the animals performed accurately and generalized to new conditions\, but their choices were inconsistent with any single policy\, suggesting the use of internally generated strategies. Large-scale electrophysiological recordings from the dorsomedial frontal cortex revealed that population activity unfolded along distinct neural trajectories corresponding to different strategies. The structure of these trajectories—set by the organization of initial neural states and their subsequent evolution—showed that animals assessed the problem and engaged distinct\, rationally structured computational algorithms. A latent behavioral model grounded in these neural dynamics predicted the animals’ choices more accurately than any fixed-strategy model\, providing a direct link between cortical population activity and adaptive decision-making. Together\, these findings reveal a neurophysiological mechanism for strategic decision-making and offer a mechanistic understanding of the neural basis of adaptive problem solving.
URL:https://arni-institute.org/event/ctn-mehrdad-jazayeri/
LOCATION:Zuckerman Institute- Kavli Auditorium 9th Fl\, 3227 Broadway\, NY
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20251219T113000
DTEND;TZID=America/New_York:20251219T130000
DTSTAMP:20260525T202920
CREATED:20251209T200448Z
LAST-MODIFIED:20251216T170437Z
UID:2159-1766143800-1766149200@arni-institute.org
SUMMARY:CTN: Roozbeh Kiani
DESCRIPTION:Seminar Time: 11:30am\nDate: 12/19/25\nSeminar Location: JLG\, L5-084\nHost: Tahereh Toosi\n\n \n\nTitle: Flexible decision-making: policies and rules\n \nAbstract: Flexible behavior requires flexible decision-making. We adapt seamlessly to changing environments—adjusting biases\, altering decision rules\, and inferring hidden task contexts—often without explicit cues. In this talk\, I will outline a framework that formalizes different levels of this flexibility and show how these adjustments are implemented in neural codes across the frontoparietal cortex. I will highlight three forms of decision flexibility: (1) Bias adjustments\, driven by asymmetric rewards\, shift neural activity along the decision variable axis;  (2) Rule changes\, such as varying sensory weights in a multi-feature discrimination task\, produce rotational changes in the population geometry\, supporting rapid changes in decision policy; and (3) Hierarchical inference\, where animals infer hidden contexts to adapt to task structure\, is reflected in the emergence of latent variables represented in distributed subspaces.
URL:https://arni-institute.org/event/ctn-roozbeh-kiani/
LOCATION:Zuckerman Institute – L5-084\, 3227 Broadway\, New York\, NY\, United States
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