scholarly journals A Network of Topographic Maps in Human Association Cortex Hierarchically Transforms Visual Timing-Selective Responses

2020 ◽  
Vol 30 (8) ◽  
pp. 1424-1434.e6 ◽  
Author(s):  
Ben M. Harvey ◽  
Serge O. Dumoulin ◽  
Alessio Fracasso ◽  
Jacob M. Paul
2020 ◽  
Vol 20 (11) ◽  
pp. 538
Author(s):  
Ben Harvey ◽  
Serge Dumoulin ◽  
Alessio Fracasso ◽  
Jacob Paul

Author(s):  
R.B. Mars ◽  
R.E. Passingham ◽  
F.-X. Neubert ◽  
L. Verhagen ◽  
J. Sallet

2016 ◽  
Author(s):  
Ben M Harvey ◽  
Serge O Dumoulin

Sensory and motor cortices each contain multiple topographic maps with the structure of sensory organs (such as the retina or cochlea) mapped onto the cortical surface. These sensory maps are hierarchically organized. For example, visual field maps contain neurons that represent increasing large parts of visual space with increasingly complex responses. Some visual neurons respond to stimuli with a particular numerosity, the number of objects in a set. We recently discovered a parietal topographic numerosity map where neural numerosity preferences progress gradually across the cortical surface, analogous to sensory maps. Following this analogy, we hypothesised that there may be multiple numerosity maps. Numerosity perception is implicated in many cognitive functions including foraging, multiple object tracking, dividing attention, decision making and mathematics. Here we use ultra-high-field (7T) fMRI and neural model-based analyses to reveal numerosity-selective neural populations organized into six widely separated topographic maps in each hemisphere. Although we describe subtle differences between these maps, their properties are very similar, unlike in sensory map hierarchies. These maps are found in areas implicated in object recognition, motion perception, attention control, decision-making and mathematics. Multiple numerosity maps may allow interactions with these many cognitive systems, suggesting a broad role for quantity processing in supporting many perceptual and cognitive functions.


2012 ◽  
Vol 23 (12) ◽  
pp. 2863-2871 ◽  
Author(s):  
S. Hirose ◽  
T. Watanabe ◽  
H. Wada ◽  
Y. Imai ◽  
T. Machida ◽  
...  

2015 ◽  
Vol 112 (44) ◽  
pp. 13525-13530 ◽  
Author(s):  
Ben M. Harvey ◽  
Alessio Fracasso ◽  
Natalia Petridou ◽  
Serge O. Dumoulin

Humans and many animals analyze sensory information to estimate quantities that guide behavior and decisions. These quantities include numerosity (object number) and object size. Having recently demonstrated topographic maps of numerosity, we ask whether the brain also contains maps of object size. Using ultra-high-field (7T) functional MRI and population receptive field modeling, we describe tuned responses to visual object size in bilateral human posterior parietal cortex. Tuning follows linear Gaussian functions and shows surround suppression, and tuning width narrows with increasing preferred object size. Object size-tuned responses are organized in bilateral topographic maps, with similar cortical extents responding to large and small objects. These properties of object size tuning and map organization all differ from the numerosity representation, suggesting that object size and numerosity tuning result from distinct mechanisms. However, their maps largely overlap and object size preferences correlate with numerosity preferences, suggesting associated representations of these two quantities. Object size preferences here show no discernable relation to visual position preferences found in visuospatial receptive fields. As such, object size maps (much like numerosity maps) do not reflect sensory organ structure but instead emerge within the brain. We speculate that, as in sensory processing, optimization of cognitive processing using topographic maps may be a common organizing principle in association cortex. Interactions between object size and numerosity maps may associate cognitive representations of these related features, potentially allowing consideration of both quantities together when making decisions.


2014 ◽  
Vol 25 (10) ◽  
pp. 3654-3672 ◽  
Author(s):  
B. T. Thomas Yeo ◽  
Fenna M. Krienen ◽  
Simon B. Eickhoff ◽  
Siti N. Yaakub ◽  
Peter T. Fox ◽  
...  

1991 ◽  
Vol 66 (6) ◽  
pp. 1825-1837 ◽  
Author(s):  
R. C. Foehring ◽  
N. M. Lorenzon ◽  
P. Herron ◽  
C. J. Wilson

1. We examined whether the three physiologically defined neuron types described for rodent neocortex were also evident in human association cortex studied in an in vitro brain slice preparation. We also examined the relationship between physiological and morphological cell type in human neocortical neurons. In particular, we tested whether burst-firing neurons were numerous in regions of human cortex that are susceptible to seizures. 2. Although we sampled regular-spiking and fast-spiking neurons, we observed no true burst-firing neurons, as defined for rodent cortex. We did find neurons that displayed a voltage-dependent shift in firing behavior. Because this behavior was due, in large part, to a low-threshold calcium conductance, we called these cells low-threshold spike (LTS) neurons. 3. Regular-spiking neurons and LTS neurons only differed in the voltage dependence of firing behavior and the first few interspike intervals (ISIs) of repetitive firing in response to small current injections (from hyperpolarized membrane potentials). Because of the general similarities between the two types, we consider the LTS cells to be a subgroup of regular-spiking cells. 4. All biocytin-filled regular-spiking neurons were spiny and pyramidal and found in layers II-VI. The lone filled fast-spiking cell was aspiny and nonpyramidal (layer V). The LTS neurons were morphologically heterogeneous. We found 80% of LTS neurons to be spiny and pyramidal, but 20% were aspiny nonpyramidal cells. LTS neurons were located in layers II-VI. 5. In conclusion, human association cortex contains two of three physiological cell types described in rodent cortex: regular spiking and fast spiking. These physiological types corresponded to spiny, pyramidal, and aspiny, nonpyramidal cells, respectively. We sampled no intrinsic burst-firing neurons in human association cortex. LTS neurons exhibited voltage-dependent changes in firing behavior and were morphologically heterogeneous: most LTS cells were spiny and pyramidal, but two cells were found to be aspiny and nonpyramidal. It is not clear whether the absence of burst-firing neurons or the morphological heterogeneity of LTS neurons are due to species differences or differences in cortical areas.


2021 ◽  
Author(s):  
Ai Phuong S. Tong ◽  
Alex P. Vaz ◽  
John H. Wittig ◽  
Sara K. Inati ◽  
Kareem A. Zaghloul

AbstractDirect brain recordings have provided important insights into how persistent oscillatory activity support human memory retrieval, but the extent to which transient fluctuations in intracranial EEG (iEEG) captures the dynamic coordination of underlying neurons involved in memory processing remains unclear. Here, we simultaneously record iEEG, local field potential (LFP), and single unit activity in the human temporal cortex. We demonstrate that cortical ripples contribute to broadband high frequency activity and exhibit a spectrum of amplitudes and durations related to the amount of underlying neuronal spiking. Ripples in the macro-scale iEEG are related to the number and synchrony of ripples in the micro-scale LFP, which in turn are related to the synchrony of neuronal spiking. Our data suggest that neural activity in the human cortex is organized into dynamic, discrete packets of information.


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