Auditory Processing in the Posterior Parietal Cortex

Cohen, Yale E.; Russ, Brian E.; Gifford, Gordon W.

doi:10.1177/1534582305285861

Cited by 46 publications

(42 citation statements)

References 214 publications

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“…For instance, in the monkey, the parietal area VIP receives inputs from visual, auditory, somatosensory, vestibular, motor and polysensory areas (Duhamel et al, 1998) that confer typical multimodal responses to the VIP neurons (Bremmer et al, 2002;Schlack et al, 2005;Avillac et al, 2007). Similarly, the connectivity pattern of the LIP Blatt et al, 1990;Lewis and Van Essen, 2000) is consistent with the multisensory properties reported for LIP neurons (Cohen et al, 2005;Russ et al, 2006;Gottlieb, 2007). The ventral part of LIP connects with areas dealing with spatial information (visual area MT and the auditory caudiomedial area; Andersen et al, 1997), as well as with the frontal eye field (Schall et al, 1995), whereas the dorsal part of LIP is connected with areas responsible for the processing of visual information related to the form of objects in the inferotemporal cortex (ventral ''what" visual pathway).…”

Section: Heteromodal Connections: Connections Between Different Sensosupporting

confidence: 66%

Multisensory anatomical pathways

2009

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In order to interact with the multisensory world that surrounds us, we must integrate various sources of sensory information (vision, hearing, touch. . .). A fundamental question is thus how the brain integrates the separate elements of an object defined by several sensory components to form a unified percept. The superior colliculus was the main model for studying multisensory integration. At the cortical level, until recently, multisensory integration appeared to be a characteristic attributed to high-level association regions. First, we describe recently observed direct cortico-cortical connections between different sensory cortical areas in the non-human primate and discuss the potential role of these connections. Then, we show that the projections between different sensory and motor cortical areas and the thalamus enabled us to highlight the existence of thalamic nuclei that, by their connections, may represent an alternative pathway for information transfer between different sensory and/or motor cortical areas. The thalamus is in position to allow a faster transfer and even an integration of information across modalities. Finally, we discuss the role of these non-specific connections regarding behavioral evidence in the monkey and recent electrophysiological evidence in the primary cortical sensory areas.

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Section: Heteromodal Connections: Connections Between Different Sensosupporting

confidence: 66%

Multisensory anatomical pathways

2009

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“…Other association cortical areas in the attentional network (Posner and Peterson, 1990) are also activated in auditory attention -such the posterior parietal cortex (Cohen et al, 2005;Yantis, 2004, 2006), and right inferior frontal and dorsolateral prefrontal cortex (Voisin et al, 2006). Moreover, neuroimaging studies of the thalamus (Frith and Friston, 1997) and physiological (McAlonan et al, 2006) and neuroanatomical (Sakoda et al, 2004) studies of the thalamic reticular nucleus suggest that the different thalamic nuclei may play important roles in attentional modulation and in helping direct the shifting focus of attention (Crick, 1984).…”

Section: I3 Neural Locus Of Auditory Attentionmentioning

confidence: 99%

“…Attention may also be instrumental in shifting from one cortical state to another. A recent study by Blake and colleagues (2006) demonstrates that a combination of acoustic stimuli and reward are insufficient to evoke cortical plasticity in the absence of an active, behavioral link between the two, and emphasizes the importance of forging dynamic links between sensory stimuli and motor actions during task learning (Cohen et al, 2005).…”

Section: I5 Exploring the Link Between Attention And Receptive-fieldmentioning

confidence: 99%

“…Achieving goals in changing environments requires adaptive behavior. Since changes to organisms occur continuously in a dynamic environment, it would obviously be useful adaptively, if animals continuously modulated their nervous systems on-line (Mountcastle, 1995;Ulanovsky et al, 2004) and forged dynamic links between sensory stimuli and motor actions (Cohen et al, 2005). The spectrotemporal receptive field (or STRF) in A1 sits at the focal juncture of this process, depicted by the model shown in Figure 3.…”

Section: Iii8 Conceptual Framework -Model For Attention-driven Plastmentioning

confidence: 99%

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Does attention play a role in dynamic receptive field adaptation to changing acoustic salience in A1?

et al. 2007

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Acoustic filter properties of A1 neurons can dynamically adapt to stimulus statistics, classical conditioning, instrumental learning and the changing auditory attentional focus. We have recently developed an experimental paradigm that allows us to view cortical receptive field plasticity on-line as the animal meets different behavioral challenges by attending to salient acoustic cues and changing its cortical filters to enhance performance. We propose that attention is the key trigger that initiates a cascade of events leading to the dynamic receptive field changes that we observe. In our paradigm, ferrets were initially trained, using conditioned avoidance training techniques, to discriminate between background noise stimuli (temporally orthogonal ripple combinations) and foreground tonal target stimuli. They learned to generalize the task for a wide variety of distinct background and foreground target stimuli. We recorded cortical activity in the awake behaving animal and computed on-line spectrotemporal receptive fields (STRFs) of single neurons in A1. We observed clear, predictable task-related changes in STRF shape while the animal performed spectral tasks (including single tone and multi-tone detection, and two-tone discrimination) with different tonal targets. A different set of task-related changes occurred when the animal performed temporal tasks (including gap detection and click-rate discrimination). Distinctive cortical STRF changes may constitute a "task-specific signature". These spectral and temporal changes in cortical filters occur quite rapidly, within 2 minutes of task onset, and fade just as quickly after task completion, or in some cases, persisted for hours. The same cell could multiplex by differentially changing its receptive field in different task conditions. On-line dynamic task-related changes, as well as persistent plastic changes, were observed at a single-unit, multi-unit and population level. Auditory attention is likely to be pivotal in mediating these task-related changes since the magnitude of STRF changes correlated with behavioral performance on tasks with novel targets. Overall, these results suggest the presence of an attention-triggered plasticity algorithm in A1 that can swiftly change STRF shape by transforming receptive fields to enhance figure/ground separation, by using a contrast matched filter to filter out the background, while simultaneously enhancing the salient acoustic target in the foreground. These results favor the view of a nimble, dynamic, attentive and adaptive brain that can quickly reshape its sensory filter properties and sensori-motor links on a moment-to-moment basis, depending upon the current challenges the animal faces. In this review, we summarize our results in the context of a broader survey of the field of auditory attention, and then consider neuronal networks that could give rise to this phenomenon of attention-driven receptive field plasticity in A1.

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“…However, in order to probe the underlying neural mechanisms of the ventriloquist effect at the single neuron level, a suitable animal model where invasive studies can be conducted needs to be identified. Studies have documented several critical regions of the nonhuman primate brain that have multisensory responses, including the superior temporal sulcus (e.g., Benevento, Fallon, Davis & Rezak, 1977;Bruce, Desimone & Gross, 1981, Cusick, 1997, the parietal lobe (e.g., Cohen, Russ & Gifford, 2005, Mazzoni, Bracewell, Barash & Andersen, 1996, Stricanne, Andersen & Mazzoni, 1996, and the frontal lobe (Benevento et al, 1977;Russo & Bruce, 1994). Each of these areas could potentially be involved in multisensory processing that leads to the spatial ventriloquism effect.…”

Section: Single Neuron Approachmentioning

confidence: 99%

Intersensory binding across space and time: A tutorial review

Chen

Vroomen

2013

Atten Percept Psychophys

207

180

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Spatial ventriloquism refers to the phenomenon that a visual stimulus such as a flash can attract the perceived location of a spatially discordant but temporally synchronous sound. An analogous example of mutual attraction between audition and vision has been found in the temporal domain, where temporal aspects of a visual event, such as its onset, frequency, or duration, can be biased by a slightly asynchronous sound. In this review, we examine various manifestations of spatial and temporal attraction between the senses (both direct effects and aftereffects), and we discuss important constraints on the occurrence of these effects. Factors that potentially modulate ventriloquism-such as attention, synesthetic correspondence, and other cognitive factors-are described. We trace theories and models of spatial and temporal ventriloquism, from the traditional unity assumption and modality appropriateness hypothesis to more recent Bayesian and neural network approaches. Finally, we summarize recent evidence probing the underlying neural mechanisms of spatial and temporal ventriloquism.

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Auditory Processing in the Posterior Parietal Cortex

Cited by 46 publications

References 214 publications

Multisensory anatomical pathways

Multisensory anatomical pathways

Does attention play a role in dynamic receptive field adaptation to changing acoustic salience in A1?

Intersensory binding across space and time: A tutorial review

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