Pspan: A New Tool for Assessing Pitch Temporal Processing and Patterning Capacity

2019 ◽  
Vol 28 (2) ◽  
pp. 322-332 ◽  
Author(s):  
Aurora J. Weaver ◽  
Jeffrey J. DiGiovanni ◽  
Dennis T. Ries
Keyword(s):  
Temporal Processing

scholarly journals Activation of VTA GABA Neurons Disrupts Reward Seeking by Altering Temporal Processing

2021 ◽  
pp. 113292
Author(s):  
Andrea K. Shields ◽  
Mauricio Suarez ◽  
Ken T. Wakabayashi ◽  
Caroline E. Bass
Keyword(s):  
Temporal Processing ◽  
Gaba Neurons ◽  
Reward Seeking

scholarly journals Temporal Processing Capacity in High-Level Visual Cortex Is Domain Specific

2015 ◽  
Vol 35 (36) ◽  
pp. 12412-12424 ◽  
Author(s):  
A. Stigliani ◽  
K. S. Weiner ◽  
K. Grill-Spector
Keyword(s):  
Visual Cortex ◽  
Temporal Processing ◽  
Processing Capacity ◽  
Domain Specific ◽  
High Level

scholarly journals A model of temporal processing in cochlear implants

1984 ◽  
Vol 76 (S1) ◽  
pp. S48-S48
Author(s):  
Robert V. Shannon
Keyword(s):  
Cochlear Implants ◽  
Temporal Processing

scholarly journals The Impact of Shape-Based Cue Discriminability on Attentional Performance

Vision ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 18
Author(s):  
Olga Lukashova-Sanz ◽  
Siegfried Wahl ◽  
Thomas S. A. Wallis ◽  
Katharina Rifai
Keyword(s):  
Temporal Processing ◽  
Visual Cues ◽  
Human Performance ◽  
Covert Attention ◽  
Orientation Discrimination ◽  
Know How ◽  
Processing Times ◽  
Attentional Performance ◽  
Cue Processing ◽  
The Impact

With rapidly developing technology, visual cues became a powerful tool for deliberate guiding of attention and affecting human performance. Using cues to manipulate attention introduces a trade-off between increased performance in cued, and decreased in not cued, locations. For higher efficacy of visual cues designed to purposely direct user’s attention, it is important to know how manipulation of cue properties affects attention. In this verification study, we addressed how varying cue complexity impacts the allocation of spatial endogenous covert attention in space and time. To gradually vary cue complexity, the discriminability of the cue was systematically modulated using a shape-based design. Performance was compared in attended and unattended locations in an orientation-discrimination task. We evaluated additional temporal costs due to processing of a more complex cue by comparing performance at two different inter-stimulus intervals. From preliminary data, attention scaled with cue discriminability, even for supra-threshold cue discriminability. Furthermore, individual cue processing times partly impacted performance for the most complex, but not simpler cues. We conclude that, first, cue complexity expressed by discriminability modulates endogenous covert attention at supra-threshold cue discriminability levels, with increasing benefits and decreasing costs; second, it is important to consider the temporal processing costs of complex visual cues.

Induced Microgyria and Auditory Temporal Processing in Rats: A Model for Language Impairment?

1994 ◽  
Vol 4 (3) ◽  
pp. 260-270 ◽  
Author(s):  
R. H. Fitch ◽  
P. Tallal ◽  
C. P. Brown ◽  
A. M. Galaburda ◽  
G. D. Rosen
Keyword(s):  
Temporal Processing ◽  
Language Impairment ◽  
Auditory Temporal Processing
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