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Engrams as Vehicles:


Caitlin Mace
Graduate Student

Philosophy

University of 
Pittsburgh



Adina Roskies
Professor

Philosophy
UC Santa Barbara



Alison Barth
Professor

Neuroscience
Carnegie Mellon 


Neural representations are central posits in neuroscience. These representations are individuable patterns of neural activity that perform some function or computation for the brain. In theorizing about representations, and no less for neural representations, it is helpful to distinguish the representational vehicle from its content. Doing so allows us to theorize about what is doing the representing and how. For neural representations, representational content might be some environmental feature that is tracked by an organism, such as the orientation of a line, the trajectory of a moving limb, or fruit in some foraging patch. The vehicle of representation is some re-identifiable physical pattern or structure, such as firing rates in a single neuron, molecular mechanisms of protein modification, or co-activity patterns in a neuronal ensemble. A major goal of neuroscientific inquiry is to individuate vehicles of neural representations to understand how they represent what they do.

Individuating representations from non-representations in practice requires some conception of which properties in the brain carry semantic information (i.e., which properties are the signal (rather than noise)). Hypotheses range from cellular and molecular processes to synaptic structures and from spikes to manifolds. Hypotheses are stronger when it is the case that evidence can weigh both in favor of the hypotheses and against it. For representation discovery, when researchers do not find a representation, the objection is always available that researchers were not using the right tools or looking in the right place. Our project, first, is to develop an account of evidence for vehicles (also called ‘engrams’) such that researchers may reasonably argue that there are no engrams in a particular area or that there are no such representations at all. For example, we might think that there are no engrams in the primary somatosensory cortex (S1) when no such engrams are found using various tools. Strengthening such claims requires evidence that the right tools were used and the right structures were observed.

For engrams, the right structures or processes are hypothetically those that persist for the length of the representation. One challenge for finding engrams is that much of the brain changes over the course of representing. Interestingly, however, stable structures can be found for task conditions in which there is no content. For example, mice can be trained to expect a reward after a pu` of air is sensed via their whiskers. While no stable representation was found for such learning in primary somatosensory cortex, when all of the whiskers were removed, a stable representation formed and persisted for multiple days. Such representations of omission are interesting in that representational content seems to be an absence of sensory stimuli. This raises a number of philosophical questions about whether such phenomena should be considered representations at all.

The 'Scents' of Body Ownership. Modulation of Embodiment through Affectively Laden Olfactory Experiences:



Viviana Betti
Assoc. Professor

Neuroscience
Sapienza University of Rome

  


Sara Invitto
Assoc. Professor


Neuroscience
University of Solento



Alice Rossi Sebastiano
Post-Doc


Neuroscience

University of Turin


Sofia Livi
Graduate Student

Philosophy

Scoula Normale Superiore


Matteo Mauro Lenti
Graduate Student


Philosophy

University of 
Turin


How do we perceive our body as ours? In the philosophy of mind and cognitive neuroscience, the sense of body ownership (SBO) – the pre-reflective feeling that one’s body belongs to oneself – has emerged as a central topic of investigation. A prominent hypothesis suggests that SBO is not merely a product of multisensory integration but is fundamentally rooted in affectivity (Vignemont, 2018). While research has primarily focused on vision and touch (Chouinard & Stewart 2020; Crucianelli et al. 2018; Della Longa et al. 2022), we propose to expand the investigation to an affectively laden sensory modality: olfaction. Despite growing philosophical and empirical interest in olfaction and embodiment (Cornelio et al. 2020; Young 2023), the specific conceptual and empirical relationship between olfactory experiences and the affective modulation of SBO remains entirely unexplored. 

This project aims to fill this gap by investigating the link between affectively laden olfactory experiences (pleasant or unpleasant ones) and the modulation of SBO through two experiments, one involving the classical paradigm of the Rubber Hand Illusion (RHI; Botvinik & Cohen 1998), and the other a novel virtual reality paradigm (Marucci et al. 2024). Each will involve a 2×3 design with Embodiment (present, absent) and Odor (neutral, pleasant, unpleasant) as within-subject factors, resulting in six conditions per experiment. 

Color Perception Beyond the Human-Visible Spectrum

Christopher Kymn
Post-Doc

Neuroscience

UC Berkeley


Lucas Battich
Post-Doc

Philosophy

Institut Jean Nicod


Mark Wulff Carstensen
Post-Doc

Philosophy
Institut Jean Nicod


Jessica Lee
Post-Doc

Neuroscience

UC Berkeley


Colors are a fundamental aspect of visual perception, yet human perception of color is merely one instance of what is possible among animals. To name two straightforward ways species diverge, there are variations in the number of cone types, and each cone has a different sensitivity to the spectrum, which is why the term “visible light” is really species-dependent,  referring to whatever range of spectrum an animal is sensitive to. In fact, most animals, like birds, minnows, and bees, can detect ultraviolet light, and some, such as beetles and rattlesnakes, can detect infrared. How should we reason about the color experiences of other species?

Two important considerations in color perception (and vision more broadly) are the ecological circumstances of the animal and its internal neural processing. Critically, these two factors are not independent of each other, as flora and fauna co-evolve. Work on natural scene statistics and efficient coding makes this idea mathematically explicit, by calculating how neural responses are optimized to maximize information about the visual environment under resource constraints. Prior work in this direction has correctly predicted the color opponency axes arising in retinal ganglion cells in human vision. The statistics of invariant properties across different lighting positions also predict the “unique hues” reported psychophysically across cultures.

These considerations motivate the two primary empirical contributions of this project. First, we will collect a new dataset of ethologically relevant scenes with samples from the ultraviolet, human-visible, and infrared ranges. Second, we will analyze this data based on information-theoretic methods in computational neuroscience, which have led to quantitative understanding of internal neural processing [4]. We emphasize that this dataset would itself be a novel contribution to the field: existing hyperspectral datasets (e.g., [5]) lack ecological relevance, and existing UV or IR datasets have limited natural scenes (e.g., bird plumage statistics in). With computational techniques, we can assess why different species have the cone types they do, as well as provide new predictions for color opponency and for unique hues in other species. 

We expect that these data and modeling efforts will shed fresh light on long-standing philosophical puzzles. In particular, we will focus on how the empirical results can inform us about what it is like to experience the UV or IR spectrum for a certain species.



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