Thalamic influences on multisensory integration

Tyll, Sascha; Budinger, Eike; Noesselt, Toemme

doi:10.4161/cib.15222

Cited by 92 publications

(78 citation statements)

References 57 publications

(63 reference statements)

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“…For example, the feline suprageniculate nucleus of the posterior thalamus contains many unimodal cells (responding only to one sensory modality) but 20 % bimodal and trimodal cells, responding to various combinations of visual, auditory, somatosensory and nociceptive information (Benedek et al, 1997). Similar results were found for the pulvinar nucleus of the thalamus (Tyll et al, 2011). Several studies have further shown that at the functional level, thalamic structures are involved in multisensory integration processes (Tyll et al, 2011).…”

Section: Integration Of Pain With Other Types Of Informationsupporting

confidence: 70%

“…Several studies have further shown that at the functional level, thalamic structures are involved in multisensory integration processes (Tyll et al, 2011). For example, humans were more accurate in classifying emotional stimuli when these were presented audiovisually, compared to when they were presented by auditory or visual stimuli separately, and this was associated with increased activity in the thalamus (Tyll et al, 2011).…”

Section: Integration Of Pain With Other Types Of Informationmentioning

confidence: 99%

“…Information is also integrated at the cortical level; multimodal convergence zones have been identified at the border of sensory specific cortices (Tyll et al, 2011). In addition, it has been long known that EFSA Supporting publication 2017:EN-1196…”

Section: Integration Of Pain With Other Types Of Informationmentioning

confidence: 99%

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Animal Consciousness

Neindre¹,

Bernard

Boissy

et al. 2017

EFSA Supporting Publications

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After reviewing the literature on current knowledge about consciousness in humans, we present a state-of-the art discussion on consciousness and related key concepts in animals. Obviously much fewer publications are available on non-human species than on humans, most of them relating to laboratory or wild animal species, and only few to livestock species. Human consciousness is by definition subjective and private. Animal consciousness is usually assessed through behavioural performance. Behaviour involves a wide array of cognitive processes that have to be assessed separately using specific experimental protocols. Accordingly, several processes indicative of the presence of consciousness are discussed: perception and cognition, awareness of the bodily-self, selfrelated knowledge of the environment (including social environment). When available, specific examples are given in livestock species. Next, we review the existing evidence regarding neuronal correlates of consciousness, and emphasize the difficulty of linking aspects of consciousness to specific neural structures across the phyla because high-level cognitive abilities may have evolved independently along evolution. Several mammalian brain structures (cortex and midbrain) are involved in the manifestations of consciousness, while the equivalent functional structures for birds and fishes would likely be the pallium/tectum and midbrain. Caution is required before excluding consciousness in species not having the same brain structures as the mammalian ones as different neural architectures may mediate comparable processes. Finally, specific neurophysiological mechanisms appear to be strongly linked to the emergence of consciousness, namely neural synchrony and neural feedback. Considering the limited amount of data available and the few animal species studied so far, we conclude that different manifestations of consciousness can be observed in animals but that further refinement is still needed to characterize their level and content in each species. Further research is required to clarify these issues, especially in livestock species.

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Section: Integration Of Pain With Other Types Of Informationsupporting

confidence: 70%

Section: Integration Of Pain With Other Types Of Informationmentioning

confidence: 99%

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Animal Consciousness

Neindre¹,

Bernard

Boissy

et al. 2017

EFSA Supporting Publications

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“…Indeed, this has recently been shown within SL using the McGurk effect (see Glossary) in a cross-modal segmentation study [32]. More generally, perception of the world routinely involves multisensory integration (e.g., [33]), occurring at both low levels (i.e., the thalamus, [34]; the dorsal cochlear nucleus, [35]) and higher levels of cortical processing (e.g., anterior temporal poles; [36]). Critically, however, each of these multimodal areas would be subject to its own distinct set of constraints, which would not necessarily be the same as those from the unimodal regions that feed into it or to the constraints in other multimodal areas.…”

Section: Towards a Mechanistic Model Of Slmentioning

confidence: 91%

Domain generality versus modality specificity: the paradox of statistical learning

Frost

Armstrong

Siegelman

et al. 2015

Trends in Cognitive Sciences

437

514

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Statistical learning is typically considered to be a domain-general mechanism by which cognitive systems discover the underlying distributional properties of the input. Recent studies examining whether there are commonalities in the learning of distributional information across different domains or modalities consistently reveal, however, modality and stimulus specificity. An important question is, therefore, how and why a hypothesized domain-general learning mechanism systematically produces such effects. We offer a theoretical framework according to which statistical learning is not a unitary mechanism, but a set of domain-general computational principles, that operate in different modalities and therefore are subject to the specific constraints characteristic of their respective brain regions. This framework offers testable predictions and we discuss its computational and neurobiological plausibility.

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“…The authors also suggested different levels of multisensory divergence in the opposite direction to information flow. Other researchers have considered several possible neural mechanisms for multisensory interaction in sensory-specific cortices 24,26,27) . The first is feedback effects from multisensory convergence zones in higher association regions to sensory specific regions.…”

Section: Very Early Multisensory Integrationmentioning

confidence: 99%

Neuroscientific evidence for multisensory convergence and interaction

Tanaka

Kida

Kakigi

et al. 2017

JPFSM

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Effective behaviors optimized for various situations are enabled by various sensory information. How does the brain deal simultaneously with information from different sensory systems? Investigation of multisensory processing began from neuroanatomical and neurophysiological studies at the level of single neurons. Accumulation of knowledge concerning neurons and progress in recording techniques of human brain activity have led to a massive expansion in recent neuroscientific studies using various combinations of brain activity recording and cognitive tasks. In this paper, we briefly review recent neuroscientific studies related to multisensory convergence and interaction, focusing on electrophysiological and imaging studies in humans.

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Thalamic influences on multisensory integration

Cited by 92 publications

References 57 publications

Animal Consciousness

Animal Consciousness

Domain generality versus modality specificity: the paradox of statistical learning

Neuroscientific evidence for multisensory convergence and interaction

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