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Program
Enacting Ecosystems of Shared Intelligence
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2023 Symposium Program
Interval
UTC Time
Presenter
Event Name
Description
1
8/22/2023, 1:00 AM
André Bastos
Multi-laminar, multi-area recordings in the non-human primate brain suggest Predictive Coding is implemented via Predictive Routing
To understand the neural basis of cognition, we must understand how top-down control of bottom-up sensory inputs is achieved. We have marshaled evidence for a canonical cortical control circuit that involves rhythmic interactions between different cortical layers. By performing multiple-area, multi-laminar recordings, we've found that local field potential (LFP) power in the gamma band (40-100 Hz) is strongest in superficial layers (layers 2/3), and LFP power in the alpha/beta band (8-30 Hz) is strongest in deep layers (layers 5/6). The gamma-band is strongly linked to bottom-up sensory processing and neuronal spiking carrying stimulus information, while the alpha/beta-band is linked to top-down processing. Deep layer alpha/beta Granger causes that in superficial layers, and is negatively coupled to gamma. These oscillations give rise to separate channels for neuronal communication: feedforward for the gamma-band, and feedback for the alpha/beta band. Attention, working memory, and prediction processing all involve modulation of gamma and alpha/beta synchronization, both within and across areas of the frontal/parietal/visual network. These rhythmic interactions breakdown during anesthesia-induced unconsciousness. Based on these observations, we hypothesize that the interplay between alpha/beta and gamma synchronization is a canonical mechanism to enable cognition and consciousness.
8/22/2023, 1:30 AM
Keith Duggar
Active Inference and the Actor Model
Active Inference and the Actor Model are two deeply connected understandings of the world, both born ahead of the time. They provide foundational frameworks for defining the dynamics of complex systems with a focus on autonomous agents that interact in an ecology of nested systems. In this content we explore some of their key connections including: the role of agents, concurrency, information processing, reactive systems, and emergent behavior. We will see that Active Inference and the Actor Model are a paradigm shift away from a deterministic, centralized, step-by-step thinking to a decentralized, networked, concurrent perspective of both computation and cognition.
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