Now 32 Channels of Electrical Stimulation PlexStim™ Software 2.2 is now available online for the PlexStim Electrical Stimulator 2.0, Plexon’s electrically isolated, individually programmable, 16 channel, constant current stimulator system. The new release now enables up to 32 independent stimulation channels to be controlled via the PlexStim software development kit (SDK). To achieve 32 channels, researchers are now able to use two PlexStim 16 channel devices together. PlexStim can generate arbitrary waveform patterns initiated from either the software interface or from externally triggered digital inputs with an unprecedented 30nA resolution and 1µsec temporal resolution. The graphical user interface (GUI) makes it easy to generate bi-phasic rectangular pulses and bursts of pulses repeated at specific rates. More complicated rectangular waveforms and non-rectangular arbitrary waveforms may be defined in and loaded from a simple text file. Every stimulation pattern can be started and stopped either manually within the GUI, or with an external digital trigger (TTL). Complex stimulation patterns can be delivered in this way with precise timing based on different triggers. Each channel has a dedicated digital input that may be used in an edge triggered or level triggered (gated) mode to initiate stimulation with microsecond latency. Each channel also has a dedicated digital output signal to third party devices at the precise time when stimulation is occurring. The actual current and voltage delivered to each electrode can be conveniently monitored on a per-channel basis with stimulation currents defined with 16-bit precision up to ±1mA and delivered with ±10V compliance. To download the latest release, go to either the PlexStim webpage or to Software Downloads under the PlexStim header. For more informaiton or assistance, contact support@plexon.com. Did you know . . . Where to Find Notes About Software Updates? Plexon software applications include a Change Log that details new features, improvements and bug fixes included in the current and previous software releases. This Change Log is included in the installation folder of the software, and on the Plexon website as a separate link in the same location as the installer. We include as much information on software releases as we can fit into the newsletter with every release, but often the list of new features and improvements is too long to include in its entirety. For the complete list, see the corresponding Change Log. Additionally, the installer for the OmniPlex® Neural Data Acquisition System also includes Release Notes that go into even more details about the new features and improvements in the current and previous releases of the software. It will often include screenshots and guides to using new features, and other information that has not made it into the manual yet. The Release Notes are only included in the installer for the OmniPlex System and are not found separately on the website. For more information about software updates, change logs or release notes, contact support@plexon.com. Research Spotlight Let us know about your 2014 publication citing Plexon and our equipment and we will send you a thank you award with a mug and a T-shirt! Send notices, address and T-shirt size to publications@plexon.com. All articles listed are alphabetical based on first author within two categories: articles published online in electronic-only journals or ahead of print, and articles published in full print. Recent articles published online in electronic-only journals or ahead of print: - Chakrabarti, S., Martinez-Vazquez, P., & Gail, A. (2014). Synchronization patterns suggest different functional organization in parietal reach region and the dorsal premotor cortex. Journal of Neurophysiology, jn-00621.
- Garion, Liora, Uri Dubin, Yoav Rubin, Mohamed Khateb, Yitzhak Schiller, Rony Azouz, and Jackie Schiller. “Texture coarseness responsive neurons and their mapping in layer 2–3 of the rat barrel cortex in vivo.” eLife 3 (2014): e03405.
- Jackson, Jesse, Bénédicte Amilhon, Romain Goutagny, Jean-Bastien Bott, Frédéric Manseau, Christian Kortleven, Steven L. Bressler, and Sylvain Williams. “Reversal of theta rhythm flow through intact hippocampal circuits.” Nature Neuroscience (2014).
- Kalappa, Bopanna I., Thomas J. Brozoski, Jeremy G. Turner, and Donald M. Caspary. “Single‐unit hyperactivity and bursting in the auditory thalamus of awake rats directly correlates with behavioral evidence of tinnitus.” The Journal of Physiology (2014).
- Le Prell, Colleen G., David F. Dolan, Larry F. Hughes, Richard A. Altschuler, and Susan E. Shore. “Disruption of Lateral Olivocochlear Neurons with a Dopaminergic Neurotoxin Depresses Spontaneous Auditory Nerve Activity.” Neuroscience Letters (2014).
- Lu, Hu, Shengtao Yang, Yuqing Song, and Hui Wei. “Analyzing topological characteristics of neuronal functional networks in the rat brain.” Physics Letters A (2014).
- McFarland, James M., Adrian G. Bondy, Bruce G. Cumming, and Daniel A. Butts. “High-resolution eye tracking using V1 neuron activity.” Nature Communications 5 (2014).
- Meyer, Travis, Christopher Walker, Raymond Y. Cho, and Carl R. Olson. “Image familiarization sharpens response dynamics of neurons in inferotemporal cortex.” Nature Neuroscience (2014).
- Sakhi, Kanwal, Sven Wegner, Mino DC Belle, Michael Howarth, Philippe Delagrange, Timothy M. Brown, and Hugh D. Piggins. “Intrinsic and extrinsic cues regulate the daily profile of mouse lateral habenula neuronal activity.” The Journal of Physiology (2014).
- Siegle, Joshua H., Dominique L. Pritchett, and Christopher I. Moore. “Gamma-range synchronization of fast-spiking interneurons can enhance detection of tactile stimuli.” Nature Neuroscience (2014).
- Sodhi, Puneet, and Andrew TE Hartwick. “Adenosine modulates light responses of rat retinal ganglion cell photoreceptors through cyclic AMP‐mediated pathway.” The Journal of Physiology (2014).
- Tingley, David, Andrew S. Alexander, Sean Kolbu, Virginia R. de Sa, Andrea A. Chiba, and Douglas A. Nitz. “Task-Phase-Specific Dynamics of Basal Forebrain Neuronal Ensembles.” Frontiers in Systems Neuroscience 8 (2014): 174.
- Thivierge, Jean-Philippe. “Scale-free and economical features of functional connectivity in neuronal networks.” Physical Review E 90, no. 2 (2014): 022721.
- van Kerkoerle, Timo, Matthew W. Self, Bruno Dagnino, Marie-Alice Gariel-Mathis, Jasper Poort, Chris van der Togt, and Pieter R. Roelfsema. “Alpha and gamma oscillations characterize feedback and feedforward processing in monkey visual cortex.” Proceedings of the National Academy of Sciences (2014): 201402773.
- Zhang, Die, Andrei Dragomir, Yasemin M. Akay, and Metin Akay. “Nicotine exposure increases the complexity of dopamine neurons in the parainterfascicular nucleus (PIF) subregion of VTA.” Journal of NeuroEngineering and Rehabilitation 11, no. 1 (2014): 103.
- Zhivago, Kalathupiriyan A., and Sripati P. Arun. “Texture discriminability in monkey inferotemporal cortex predicts human texture perception.” Journal of Neurophysiology (2014): jn-00532.
- Zhou, Luoqing, Yu Qi, Yueming Wang, Gang Pan, Yiwen Wang, Xiaoxiang Zheng, and Zhaohui Wu. “Decoding motor cortical activities of Monkey: A dataset.” In Neural Networks (IJCNN), 2014 International Joint Conference on, pp. 3865-3870. IEEE, 2014.
- Zhuang, Katie Z., Mikhail A. Lebedev, and Miguel AL Nicolelis. “Joint Cross-Correlation Analysis reveals complex, time-dependent functional relationship between cortical neurons and arm electromyograms.” Journal of Neurophysiology (2014): jn-00031.
Recent articles published in full print: - Cerri, Domenic H., Michael P. Saddoris, and Regina M. Carelli. “Nucleus accumbens core neurons encode value-independent associations necessary for sensory preconditioning.” Behavioral Neuroscience 128, no. 5 (2014): 567.
- Chaisanguanthum, Kris S., Helen H. Shen, and Philip N. Sabes. “Motor Variability Arises from a Slow Random Walk in Neural State.” The Journal of Neuroscience 34, no. 36 (2014): 12071-12080.
- Crowe, David A., Wilbert Zarco, Ramon Bartolo, and Hugo Merchant. “Dynamic Representation of the Temporal and Sequential Structure of Rhythmic Movements in the Primate Medial Premotor Cortex.” The Journal of Neuroscience 34, no. 36 (2014): 11972-11983.
- Cui, Guohong, Sang Beom Jun, Xin Jin, Guoxiang Luo, Michael D. Pham, David M. Lovinger, Steven S. Vogel, and Rui M. Costa. “Deep brain optical measurements of cell type–specific neural activity in behaving mice.” Nature Protocols 9, no. 6 (2014): 1213-1228.
- Ibos, Guilhem, and David J. Freedman. “Dynamic Integration of Task-Relevant Visual Features in Posterior Parietal Cortex.” Neuron (2014). Neuron. Volume 83, Issue 6, 17 September 2014, 1468-1480.
- Fremont, Rachel, D. Paola Calderon, Sara Maleki, and Kamran Khodakhah. “Abnormal High-Frequency Burst Firing of Cerebellar Neurons in Rapid-Onset Dystonia-Parkinsonism.” The Journal of Neuroscience 34, no. 35 (2014): 11723-11732.
- Kaliukhovich, Dzmitry A., and Rufin Vogels. “Neurons in Macaque Inferior Temporal Cortex Show No Surprise Response to Deviants in Visual Oddball Sequences.” The Journal of Neuroscience 34, no. 38 (2014): 12801-12815.
- Kim, Wonki, In Ho Song, Yong Hoon Lim, Mi-Ryoung Kim, Young Eun Kim, Jae Ha Hwang, In Keyoung Kim et al. “Influence of Propofol and Fentanyl on Deep Brain Stimulation of the Subthalamic Nucleus.” Journal of Korean Medical Science 29, no. 9 (2014): 1278-1286.
- Mathews, Kiran S., Heather AC Wark, David J. Warren, Michael B. Christensen, Nicholas F. Nolta, Patrick C. Cartwright, and Richard A. Normann. “Acute Monitoring of Genitourinary Function Using Intrafascicular Electrodes: Selective Pudendal Nerve Activity Corresponding to Bladder Filling, Bladder Fullness, and Genital Stimulation.” Urology 84, no. 3 (2014): 722-729.
- Li, Guangxing, Zhimo Yao, Zhengchun Wang, Nini Yuan, Vargha Talebi, Jiabo Tan, Yongchang Wang, Yifeng Zhou, and Curtis L. Baker. “Form-Cue Invariant Second-Order Neuronal Responses to Contrast Modulation in Primate Area V2.” The Journal of Neuroscience 34, no. 36 (2014): 12081-12092.
- Stetson, Chess, and Richard A. Andersen. “The Parietal Reach Region Selectively Anti-Synchronizes with Dorsal Premotor Cortex during Planning.” The Journal of Neuroscience 34, no. 36 (2014): 11948-11958.
- Xiao, Lei, Han-Yan Gong, Hai-Qing Gong, Pei-Ji Liang, and Pu-Ming Zhang. “Response Properties of ON-OFF Retinal Ganglion Cells to High-Order Stimulus Statistics.” Neuroscience Letters (2014). Vol. 582. Pages 43-48.
- Yang, Andrew I., Nora Vanegas, Codrin Lungu, and Kareem A. Zaghloul. “Beta-Coupled High-Frequency Activity and Beta-Locked Neuronal Spiking in the Subthalamic Nucleus of Parkinson’s Disease.” The Journal of Neuroscience 34, no. 38 (2014): 12816-12827.
|
