Mixed selectivity: Cellular computations for complexity

Tye, Kay M.; Miller, Earl K.; Taschbach, Felix H.; Benna, Marcus K.; Rigotti, Mattia; Fusi, Stefano

doi:10.1016/j.neuron.2024.04.017

Cited by 10 publications

(4 citation statements)

References 148 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…the VTA STRESS ensemble responds to different types of stressors, and the VTA DAMGO ensemble to different types of rewards). This is an interesting observation in the context of pure versus mixed selectivity response patterns of neurons 28 . We show here that the VTA functional organization recruits specific ensembles that, weeks later, keep responding with high selectivity to multiple preferentially congruent valence stimuli.…”

Section: Discussionmentioning

confidence: 60%

See 1 more Smart Citation

Distinct ventral tegmental area neuronal ensembles are indispensable for reward-driven approach and stress-driven avoidance behaviors

Koutlas,

Patrikiou,

van der Starre

et al. 2024

Preprint

View full text Add to dashboard Cite

Assigning valence to stimuli for adaptive behavior is an essential function, involving the ventral tegmental area (VTA). VTA cell types are often defined through neurotransmitters (NT). However, valence function in VTA does not parse along NT-boundaries as, within each NT-class, certain neurons are excited by reward and others by stressors. Here we identify the co-activated mouse VTA neuronal ensembles for reward and stress, and determine their role in adaptive behaviors. We show that stimuli of opposite valence (opioid vs acute social stress) recruit two segregated intermingled small VTA neuronal ensembles. These two ensembles continue to be preferentially engaged by congruent valence stimuli. Stimulation of VTA stress- or reward ensembles is aversive/reinforcing, respectively. Strikingly, external valence stimuli fully require activity of these small discrete VTA ensembles for conferring approach/avoidance outcomes. Overall, our study identifies distinct small VTA ensembles for positive and negative valence coding and shows their indispensability for adaptive behavior.

show abstract

Section: Discussionmentioning

confidence: 60%

Section: Vta Ensembles Responding Stimuli Of Valencementioning

confidence: 60%

Distinct ventral tegmental area neuronal ensembles are indispensable for reward-driven approach and stress-driven avoidance behaviors

Koutlas,

Patrikiou,

van der Starre

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…State-space analyses of neural populations have revealed population-level mechanisms involved in representing information and performing computations over these representations (Libedinsky, 2023; Vyas et al, 2020). An important feature of recurrent neural network dynamics is the dimensionality of the network’s representations, where high-dimensional neural representations enable flexibility in processing, while low-dimensional neural representations enable stable and robust representations (Fusi et al, 2016; Murray et al, 2017; Parthasarathy et al, 2019; Tye et al, 2024). The dimensionality of a network depends on its inputs and recurrent connectivity (Beiran et al, 2020; Schuessler et al, 2020).…”

Section: Discussionmentioning

confidence: 99%

Mixed recurrent connectivity architecture in primate prefrontal cortex

Sigalas,

Libedinsky

2024

Preprint

View full text Add to dashboard Cite

The functional properties of a network depend on its connectivity, which includes the strength of its inputs and the strength of the connections between its units, or recurrent connectivity. Because we lack a detailed description of the recurrent connectivity in the lateral prefrontal cortex of primates, we developed an indirect method to estimate it. This method leverages the elevated noise correlation of mutually-connected units. To estimate the connectivity of prefrontal regions, we trained recurrent neural network models with varying percentages of bump attractor architecture and noise levels to match the noise correlation properties observed in two specific prefrontal regions: the dorsolateral prefrontal cortex and the frontal eye field. We found that models initialized with approximately 20% and 7.5% bump attractor architecture closely matched the noise correlation properties of the frontal eye field and dorsolateral prefrontal cortex, respectively. These findings suggest that the different percentages of bump attractor architecture may reflect distinct functional roles of these brain regions. Specifically, lower percentages of bump attractor units, associated with higher-dimensional representations, likely support more abstract neural representations in more anterior regions.

show abstract

“…This was particularly true for the SFB, where 84% of electrodes that showed a statistically significant effect for music also showed a significant effect for speech, thus suggesting not only high anatomical overlap, but also high mixed selectivity within the range of slow oscillations. Mixed selectivity has been proposed to optimize computational power during complex cognitive operations, thus supporting high-dimensional neural representations (Fusi et al, 2016; Rigotti et al, 2013; Tye et al, 2024).…”

Section: Discussionmentioning

confidence: 99%

Cortical tracking of naturalistic music and speech across frequency bands and brain regions: functional mapping and temporal dynamics

Osorio,

Assaneo

2024

Preprint

View full text Add to dashboard Cite

Music and speech encode hierarchically organized structural complexity at the service of human expressiveness and communication. Carefully controlled experiments have suggested that populations of neurons in cortical auditory regions track temporal modulations within rhythmic acoustic signals, physiologically supporting perception of both music and speech. However, whether cortical tracking of music and speech extends to less controlled (i.e., naturalistic) signals remains contentious. Here, we investigated whether cortical tracking can be observed under more natural perceptual scenarios, and how stimulus type, frequency band or anatomical localization modulates this effect. We analyzed intracranial recordings from 30 subjects while they passively watched a movie where visual scenes were accompanied by either music or speech stimuli. Cross-correlation between brain and acoustic signals, along with density-based clustering analyses and linear mixed effect modeling, revealed both anatomically overlapping and functionally distinct mapping of the tracking effect as a function of stimulus type and frequency band. We observed widespread tracking of music and speech signals in the Slow Frequency Band (1-8Hz), with near zero temporal lags and high mixed-selectivity. In contrast, High Frequency Band (70-120Hz) tracking was higher during speech perception, was more densely concentrated in classical language processing areas, and showed a clear frontal-to-temporal gradient in lag values that was not observed during perception of musical stimuli. Our results highlight the recruitment of domain-general and domain-specific mechanisms during perception of naturalistic music and speech signals, as well as a complex interaction between cortical region and frequency band that shapes temporal dynamics during processing of hierarchically organized temporal structures in speech.

show abstract

Mixed selectivity: Cellular computations for complexity

Cited by 10 publications

References 148 publications

Distinct ventral tegmental area neuronal ensembles are indispensable for reward-driven approach and stress-driven avoidance behaviors

Distinct ventral tegmental area neuronal ensembles are indispensable for reward-driven approach and stress-driven avoidance behaviors

Mixed recurrent connectivity architecture in primate prefrontal cortex

Cortical tracking of naturalistic music and speech across frequency bands and brain regions: functional mapping and temporal dynamics

Contact Info

Product

Resources

About