09:00 - 10:30
Parallel sessions 7
09:00 - 10:30
Room: HSZ - N9
Chair/s:
Thomas B Christophel, Rosanne Rademaker
We are capable of retaining a large variety of visual content in working memory, ranging from simple low-level features to complex naturalistic stimuli. Maintenance of visual information in working memory is accompanied by memory-specific activity across the entire cortical sheet from early visual areas to frontal cortex. Interference between memory content and distractors shapes these representations, as does the passage of time. Here, we bring together experts from cognitive psychology and neuroscience trying to understand the cortical and cognitive mechanisms of short-term memory. Using behavioral work, TMS, single-cell recordings, fMRI, and convolutional neural networks, they assess the representational nature of working memory storage and its interaction with the environment.  
First, Pablo Grassi asks whether activity in sensory cortex is necessary for the maintenance of visual information. He will present results from three experiments investigating whether TMS pulses applied over visual cortex interfere with working memory performance for low-level features. Michael Wolff will then show that V1 neurons reverse preference between the processing and short-term maintenance of natural images, evident in both spontaneous and evoked (“pinged”) spiking activity. This suggests that neural adaptation acts like a short-term memory buffer in the early sensory cortex. Next, Anna Zier asks which brain regions represent how low-level visual features (like color and motion) are bound into a more complex object in working memory. Using fMRI decoding, she demonstrates that trial-specific binding information can be identified from memory-related activity in early visual cortex (V1–V4). Then, Anastasia Kiyonaga uses CNN derived similarity measures in natural images to show that low-level and high-level interference uniquely affect working memory performance. Intriguingly, interference effects during working memory are inversely related to long term memory recollection, suggesting competition with immediate memory can strengthen longer-term memory. Finally, Joana Seabra shows that during visual working memory several cortical regions utilize categorical, semantic, and spatial representational formats to maintain simple low-level stimuli in a robust fashion.
Submission 662
Neural Adaptation in Monkey V1 as a Short-Term Memory Buffer for Natural Images
SymposiumTalk-02
Presented by: Michael Wolff
Michael WolffRosanne Rademaker
Ernst Strüngmann Institute (ESI) for Neuroscience, Germany
The involvement of the early visual cortex during the short-term maintenance of visual information has been demonstrated in human fMRI studies. How and if persistent neural spiking in V1 is crucial for short-term memory is unclear, however. Recently, fading memory traces of natural images have been shown in the population code of monkey V1 neurons. Here, we show that these fading traces were the inverse of the population code during image encoding. This code reversal can be accounted for by a reversal in stimulus preferences of stimulus-selective neurons. This was observable from low-level spontaneous neuronal spiking activity and during visually evoked (“pinged”) neural activity: The neural response to a neutral stimulus during the delay resulted in relatively fewer evoked spikes when the unit’s preferred stimulus had been shown previously, and more when a non-preferred stimulus was shown. These results can be explained by short-term synaptic depression (STD), which could be used as an efficient short-term memory buffer without the need for persistent or elevated neural spiking. Corresponding V1 local field potentials (LFP) revealed a more dynamic and robust population code and did not exhibit a clear code reversal between encoding and memory delay, similar to previous findings from human EEG recordings. We speculate that the complex interactions between the multiple sources of electrical neural activity that underlie LFP and non-invasive neural recordings may obfuscate the STD effects at the single unit level, which could be related to the short-term memory signals in V1.